No records
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454 |
Siste K., Hanafi E., Sen L.T., Wahjoepramono P.O.P., Kurniawan A., Yudistiro R. |
55644113100;56737010600;57219034101;57216247534;56521213900;57041205200; |
Erratum: Potential correlates of internet gaming disorder among Indonesian medical students: Cross-sectional study (Journal of Medical Internet Research (2021) 23:4 (e25468) DOI: 10.2196/25468) |
2021 |
Journal of Medical Internet Research |
23 |
4 |
e29790 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105627812&doi=10.2196%2f29790&partnerID=40&md5=81d33d24852e7aee04557d088a3802cd |
Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Faculty of Medicine, Universitas Pelita Harapan, Siloam Hospitals, Tangerang, Indonesia; Department of Internal Medicine, Faculty of Medicine, Universitas Pelita Harapan, Siloam Hospital, Tangerang, Indonesia |
Siste, K., Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Hanafi, E., Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Sen, L.T., Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Dr Cipto Mangunkusumo General Hospital, Jakarta, Indonesia; Wahjoepramono, P.O.P., Faculty of Medicine, Universitas Pelita Harapan, Siloam Hospitals, Tangerang, Indonesia; Kurniawan, A., Department of Internal Medicine, Faculty of Medicine, Universitas Pelita Harapan, Siloam Hospital, Tangerang, Indonesia; Yudistiro, R., Faculty of Medicine, Universitas Pelita Harapan, Siloam Hospitals, Tangerang, Indonesia |
In “Potential Correlates of Internet Gaming Disorder Among Indonesian Medical Students: Cross-sectional Study” (J Med Internet Res 2021;23(4):e25468) the authors noted two errors. Due to a system error, the name of one author, Andree Kurniawan, was replaced with the name of another author on the paper, Ryan Yudistiro. In the originally published paper, the order of authors was listed as follows: Kristiana Siste; Enjeline Hanafi; Lee Thung Sen; Petra Octavian Perdana Wahjoepramono; Ryan Yudistiro; Ryan Yudistiro This has been corrected to: Kristiana Siste; Enjeline Hanafi; Lee Thung Sen; Petra Octavian Perdana Wahjoepramono; Andree Kurniawan; Ryan Yudistiro In the originally published paper, the ORCID number of author Ryan Yudistiro was incorrectly published as follows: 0000-0002-5219-9029 This has been corrected to: 0000-0003-1418-2661 The correction will appear in the online version of the paper on the JMIR Publications website on April 21, 2021, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories. © Kristiana Siste, Enjeline Hanafi, Lee Thung Sen, Petra Octavian Perdana Wahjoepramono, Andree Kurniawan, Ryan Yudistiro. |
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erratum |
JMIR Publications Inc. |
14388871 |
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33882024 |
Erratum |
Q1 |
1446 |
2408 |
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455 |
Wang G., Tanaka A., Zhao H., Jia J., Ma X., Harada K., Wang F.-S., Wei L., Wang Q., Sun Y., Hong Y., Rao H., Efe C., Lau G., Payawal D., Gani R., Lindor K., Jafri W., Omata M., Sarin S.K. |
7407149871;57208572262;57200532284;57218488345;7404550067;57212924064;57216339526;7402950828;55531131800;56402234600;57188750283;8220686600;25122065500;36114075400;7801385732;23495930300;35418813000;23091123700;36043368300;57220191468; |
The Asian Pacific Association for the Study of the Liver clinical practice guidance: the diagnosis and management of patients with autoimmune hepatitis |
2021 |
Hepatology International |
15 |
2 |
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223 |
257 |
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7 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105607533&doi=10.1007%2fs12072-021-10170-1&partnerID=40&md5=eef4f926d521f19ad391095aa3af27f0 |
Peking University First Hospital, Beijing, China; Teikyo University School of Medicine, Tokyo, Japan; Beijing Friendship Hospital, Capital Medical University, Beijing, China; Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Department of Human Pathology, Kanazawa University Graduate School of Medicine Kanazawa, Kanazawa, Japan; Fifth Medical Center, Chinese PLA General Hospital, Beijing, China; Beijing Tsinghua Changgung Hospital, Beijing, China; Peking University People’s Hospital, Beijing, China; Department of Gastroenterology, Harran University, Åžanlıurfa, Turkey; Humanity and Health Medical Group, Hong Kong; Department of Hepatology, Cardinal Santos Medical Center, Manila, Philippines; Department of Internal Medicine, Cipto Mangunkusumo Hospital, University of Indonesia, Jakarta, Indonesia; College of Health Solutions, Arizona State University, Phoenix, AZ, United States; Aga Khan University, Karachi, Pakistan; Department of Gastroenterology, Yamanashi Prefectural Central Hospital, Kofu-City, Yamanashi, Japan; The University of Tokyo, Tokyo, Japan; Institute of Liver and Biliary Sciences, New Delhi, India; Peking University International Hospital, Beijing, China |
Wang, G., Peking University First Hospital, Beijing, China, Peking University International Hospital, Beijing, China; Tanaka, A., Teikyo University School of Medicine, Tokyo, Japan; Zhao, H., Peking University First Hospital, Beijing, China, Peking University International Hospital, Beijing, China; Jia, J., Beijing Friendship Hospital, Capital Medical University, Beijing, China; Ma, X., Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Harada, K., Department of Human Pathology, Kanazawa University Graduate School of Medicine Kanazawa, Kanazawa, Japan; Wang, F.-S., Fifth Medical Center, Chinese PLA General Hospital, Beijing, China; Wei, L., Beijing Tsinghua Changgung Hospital, Beijing, China; Wang, Q., Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Sun, Y., Fifth Medical Center, Chinese PLA General Hospital, Beijing, China; Hong, Y., Peking University First Hospital, Beijing, China; Rao, H., Peking University People’s Hospital, Beijing, China; Efe, C., Department of Gastroenterology, Harran University, Åžanlıurfa, Turkey; Lau, G., Humanity and Health Medical Group, Hong Kong; Payawal, D., Department of Hepatology, Cardinal Santos Medical Center, Manila, Philippines; Gani, R., Department of Internal Medicine, Cipto Mangunkusumo Hospital, University of Indonesia, Jakarta, Indonesia; Lindor, K., College of Health Solutions, Arizona State University, Phoenix, AZ, United States; Jafri, W., Aga Khan University, Karachi, Pakistan; Omata, M., Department of Gastroenterology, Yamanashi Prefectural Central Hospital, Kofu-City, Yamanashi, Japan, The University of Tokyo, Tokyo, Japan; Sarin, S.K., Institute of Liver and Biliary Sciences, New Delhi, India |
[No abstract available] |
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6 mercaptopurine derivative; azathioprine; budesonide; corticosteroid; cyclosporine; farnesoid X receptor; infliximab; mycophenolate mofetil; prednisone; rapamycin; tacrolimus; antibody detection; Asia; autoimmune hepatitis; autoimmunity; cataract; chronic liver disease; clinical practice; cytokine production; decompensated liver cirrhosis; diabetes mellitus; disease predisposition; drug efficacy; drug exposure; drug safety; dual energy X ray absorptiometry; environmental factor; gene locus; genetic susceptibility; geographic distribution; human; hypertension; immunoglobulin blood level; immunological tolerance; immunoregulation; incidence; liver biopsy; liver cell carcinoma; liver transplantation; magnetic resonance elastography; nonalcoholic fatty liver; Note; osteoporosis; Pacific islan |
Springer |
19360533 |
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33942203 |
Note |
Q2 |
1304 |
2874 |
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458 |
Maya E., Viventius Y., Simadibrata C.L., Mihardja H.M. |
57223091162;57223088537;57194343459;57195721818; |
How Do You Treat Psoriasis in Your Practice? (1) |
2021 |
Medical Acupuncture |
33 |
2 |
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176 |
177 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104761989&doi=10.1089%2facu.2021.29172.cpl&partnerID=40&md5=e14f9573d53cf3e921e8ec273656b471 |
Medistra Hospital, Jl. Gatot Subroto No. 59, RW 4, Kuningan Tim., Kota Jakarta Selatan, Daerah Khusus Ibukota, 12950, Indonesia; Medical Acupuncture Specialist Program, Faculty of Medicine Universitas Indonesia, Daerah Khusus Ibukota, Jakarta, 10430, Indonesia; Center of Development and Application of Traditional Medicine, Daerah Khusus Ibukota, Jakarta, 10160, Indonesia |
Maya, E., Medistra Hospital, Jl. Gatot Subroto No. 59, RW 4, Kuningan Tim., Kota Jakarta Selatan, Daerah Khusus Ibukota, 12950, Indonesia; Viventius, Y., Medical Acupuncture Specialist Program, Faculty of Medicine Universitas Indonesia, Daerah Khusus Ibukota, Jakarta, 10430, Indonesia; Simadibrata, C.L., Medical Acupuncture Specialist Program, Faculty of Medicine Universitas Indonesia, Daerah Khusus Ibukota, Jakarta, 10430, Indonesia; Mihardja, H.M., Center of Development and Application of Traditional Medicine, Daerah Khusus Ibukota, Jakarta, 10160, Indonesia |
[No abstract available] |
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methotrexate; acupuncture; acupuncture point; adult; case report; clinical article; dermatologist; female; hospital admission; human; medical history; Note; physical examination; priority journal; psoriasis; Psoriasis Area and Severity Index |
Mary Ann Liebert Inc. |
19336586 |
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Note |
Q2 |
281 |
15498 |
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466 |
Sen L.T., Hutauruk P.M.S., Putra M.R.A., Maulida S.B., Ramadhan A., Sugiharto A. |
57219034101;57222897908;57222899118;57222902406;57220357068;57204117635; |
Scrutinizing the knowledge and stigma of HIV/AIDS in the community level in Indonesia and the correlation to risk groups aversion to screening |
2021 |
IOP Conference Series: Earth and Environmental Science |
716 |
1 |
012089 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104173128&doi=10.1088%2f1755-1315%2f716%2f1%2f012089&partnerID=40&md5=cd113c28d7b8389535c7d2bf89f521fd |
Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia |
Sen, L.T., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Hutauruk, P.M.S., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Putra, M.R.A., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Maulida, S.B., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Ramadhan, A., Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia; Sugiharto, A., Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, 10430, Indonesia |
Human immunodeficiency virus (HIV) has continuously been considered a scourge in Indonesia. Negative societal stance might be attributed to the poor biological, psychological, and emotional knowledge of HIV. Here we aimed to demonstrate the level of knowledge, stigma, and barriers for accessing HIV services. We conducted a cross-sectional survey in December 2019 in Kemayoran District, Jakarta, Indonesia. The survey consisted of a demographic section, HIV-Knowledge Questionnaire 18, and Stigma Questionnaires. An in-depth interview was conducted with eight subjects representing high-risk HIV and healthcare professionals; in-vivo and thematic analysis were employed. Overall, 83 respondents participated, 50.6% male, and 61.7% aged 26-45 years old. Instrumental, symbolic, and civility stigma were significantly higher in 25.9%, 19.8%, and 17.3% of samples, respectively. Stigma was associated with HIV knowledge (λ: 0.887, df: 3, partial η2: 0.113), and high knowledge level decreased the odds of instrumental stigma (OR: 0.292, 95% CI 0.095-0.900, p<0.05). Fear of discrimination and limited information was identified as intrinsic factors, while media portrays HIV and extraneous screening hours as extrinsic factors. The knowledge on HIV is still low at the community level in the Indonesian capital, which correlates to higher stigma and inhibits the high-risk population from accessing HIV medical services. © Published under licence by IOP Publishing Ltd. |
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Diagnosis; Planning; Risk assessment; Surveys; Sustainable development; Viruses; Cross-sectional surveys; Extrinsic factors; Health care professionals; Human immunodeficiency virus; In-depth interviews; Intrinsic factors; Limited information; Thematic analysis; Diseases |
IOP Publishing Ltd |
17551307 |
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Conference Paper |
- |
179 |
20770 |
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468 |
Prasetyo M., Moniqa R., Tulaar A., Prihartono J., Setiawan S.I. |
57192905252;57221866634;24330360800;6602605635;57195939543; |
Correlation between Hemophilia Early Arthropathy Detection with Ultrasound (HEAD-US) score and Hemophilia Joint Health Score (HJHS) in patients with hemophilic arthropathy |
2021 |
PLoS ONE |
16 |
4 April |
e0248952 |
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2 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103995985&doi=10.1371%2fjournal.pone.0248952&partnerID=40&md5=33018f7adcb5c975c29264deba385db3 |
Department of Radiology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia; Department of Medical Rehabilitation, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia; Department of Community Medicine, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia |
Prasetyo, M., Department of Radiology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia; Moniqa, R., Department of Radiology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia; Tulaar, A., Department of Medical Rehabilitation, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia; Prihartono, J., Department of Community Medicine, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia; Setiawan, S.I., Department of Radiology, Faculty of Medicine Universitas Indonesia-Dr. Cipto Mangunkusumo National Central General Hospital, Jakarta, Indonesia |
Background Hemophilic arthropathy, a condition manifested as joint destruction due to spontaneous joint bleeding, is one complication of hemophiliac patients. Early detection and intervention may improve the outcome, in which ultrasonography can be an ideal modality with the introduction of HEAD-US (Hemophilia Early Arthropathy Detection with Ultrasound) protocol. Studies have shown US benefit in hemophiliac patients, including its potential as an alternative for the Hemophiliac Joint Health Score (HJHS) system. However, many of the studies were conducted in countries with better management of hemophilia using prophylaxis treatment. It is unclear whether HEAD-US has a correlation with HJHS in countries using episodic treatment only, like in Indonesia. Purpose This study aimed to explore the correlation between HEAD-US and HJHS in hemophiliac patients with joint problems in Indonesia. Materials and methods A cross-sectional correlation study between HEAD-US and HJHS was performed with primary data collected from 120 hemophilic patients. US examination was performed on elbow, knee and ankle joints using the HEAD-US scoring method by a musculoskeletal radiologist. HJHS examination was conducted by a trained physiotherapist and a medical rehabilitation specialist. All examiner is member of multidisciplinary Hemophiliac Management Team in Cipto Mangunkusumo General Hospital in Jakarta, Indonesia. Results The mean age of the participant was 9.3 (5-14) years old. The median score of HEAD-US was 8 (1-28) with most of the joint abnormalities found on the ankles. The median score of HJHS was 3 (0-35), with most joint abnormalities found on the knees. There was a moderate correlation between HEAD-US and HJHS score (p < 0.05, r = 0.65). Conclusion HEAD-US shows a moderate correlation to HJHS in hemophiliac patients who received episodic treatment. HEAD-US can provide additional value in the anatomical evaluation of the joint and could be complementary to HJHS in assessing the joint status in hemophilic patient. © 2021 Prasetyo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
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adolescent; ankle; Article; child; controlled study; correlational study; cross-sectional study; disease assessment; echography; elbow; Hemophilia Early Arthropathy Detection with Ultrasound score; Hemophilia Joint Health Score; hemophilic arthropathy; human; Indonesia; information processing; knee; major clinical study; medical specialist; musculoskeletal radiologist; physiotherapist; scoring system; arthropathy; diagnostic imaging; early diagnosis; echography; hemophilia A; joint; pathology; preschool child; procedures; Adolescent; Child; Child, Preschool; Cross-Sectional Studies; Early Diagnosis; Hemophilia A; Humans; Indonesia; Joint Diseases; Joints; Ultrasonography |
Public Library of Science |
19326203 |
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33826621 |
Article |
Q1 |
990 |
4434 |
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486 |
Irdam G.A., Raharja P.A.R., Sutojo B., Situmorang G.R. |
57194729795;57201013616;57218247988;57190001213; |
Predictive Model of Ureteral Obstruction of Allograft Kidney Following Living Donor Kidney Transplantation |
2021 |
Transplantation Proceedings |
53 |
3 |
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1064 |
1069 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097068797&doi=10.1016%2fj.transproceed.2020.10.022&partnerID=40&md5=bf23ded4b9ef76b3a0dac07ece50cf93 |
Department of Urology, Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia |
Irdam, G.A., Department of Urology, Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Raharja, P.A.R., Department of Urology, Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Sutojo, B., Department of Urology, Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia; Situmorang, G.R., Department of Urology, Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia |
Background: Ureteral obstruction is one of the most frequent urologic complications of kidney transplantation. This study aimed to analyze independent factors that contribute to ureteral obstruction following kidney transplantation and develop predictive models form those factors. Methods: As many as 545 kidney transplantations were analyzed. Patients underwent transplantation between January 2014 and December 2018. Logistic regression analysis was used to develop the predictive model. Both donor and recipient demographic characteristics and operative parameters were analyzed and presented. Results: There were 37 (6.8%) subjects who developed ureteral obstruction. The independent risk factors for ureteral obstruction were multiple allograft renal arteries, older donor ages (>38 years), and older recipient age (>60 years). From the receiver operating characteristic (ROC) curve analysis, the area under the ROC curve of the predictive model was 0.843 (P < .001). Subjects with >2 renal allograft arteries, recipient age >60 years, and donor age >38 years had 83.8% probability of developing ureteral stenosis after kidney transplantation. Conclusion: Donor age, recipient age, and multiple renal arteries were independent risk factors of graft ureteral obstruction. Probability of developing ureteral obstruction should be considered pre-operatively in our population, using the proposed predictive model. © 2020 Elsevier Inc. |
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adult; allograft; Article; demography; female; graft recipient; groups by age; human; kidney donor; kidney graft; kidney transplantation; living donor; major clinical study; male; middle aged; prediction; priority journal; retrospective study; risk factor; ureter obstruction; adverse event; age; allograft; kidney; kidney artery; kidney transplantation; living donor; postoperative complication; procedures; receiver operating characteristic; statistical model; transplantation; ureter obstruction; vascularization; Adult; Age Factors; Allografts; Clinical Decision Rules; Female; Humans; Kidney; Kidney Transplantation; Living Donors; Logistic Models; Male; Middle Aged; Postoperative Complications; Renal Artery; Retrospective Studies; Risk Factors; ROC Curve; Ureteral Obstruction |
Elsevier Inc. |
00411345 |
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33248722 |
Article |
Q3 |
373 |
12773 |
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489 |
Pranata R., Tondas A.E., Huang I., Lim M.A., Siswanto B.B., Meyer M., Mitrovic V. |
57201973901;57211111907;57208576645;57216039756;14422648800;57217373886;36008843300; |
Potential role of telemedicine in solving ST-segment elevation dilemmas in remote areas during the COVID-19 pandemic |
2021 |
American Journal of Emergency Medicine |
42 |
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242 |
243 |
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10 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086651966&doi=10.1016%2fj.ajem.2020.06.012&partnerID=40&md5=c3d261a0e2fe3a8f2757142babbe0759 |
Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia; Department of Cardiology and Vascular Medicine, Mohammad Hoesin General Hospital, Palembang, Sumatera Selatan, Indonesia; Biomedicine Doctoral Program, Faculty of Medicine, Universitas Sriwijaya, Palembang, Indonesia; Department of Internal Medicine, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia; Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita, Jakarta, Indonesia; Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas, Jakarta, Indonesia; Department of Cardiology, Kerckhoff-Klinik, Bad Nauheim, Germany |
Pranata, R., Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia; Tondas, A.E., Department of Cardiology and Vascular Medicine, Mohammad Hoesin General Hospital, Palembang, Sumatera Selatan, Indonesia, Biomedicine Doctoral Program, Faculty of Medicine, Universitas Sriwijaya, Palembang, Indonesia; Huang, I., Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia, Department of Internal Medicine, Hasan Sadikin General Hospital, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia; Lim, M.A., Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia; Siswanto, B.B., Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita, Jakarta, Indonesia; Meyer, M., Department of Cardiology and Vascular Medicine, Faculty of Medicine Universitas, Jakarta, Indonesia; Mitrovic, V., Department of Cardiology, Kerckhoff-Klinik, Bad Nauheim, Germany |
[No abstract available] |
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troponin; acute coronary syndrome; blood clot lysis; cardiologist; cardiovascular risk; coronavirus disease 2019; echocardiography; electrocardiography; heart ventricle wall motion; human; incidence; Letter; myocarditis; pandemic; practice guideline; priority journal; risk factor; ST segment elevation; ST segment elevation myocardial infarction; takotsubo cardiomyopathy; telecardiology; telemedicine; epidemiology; health care delivery; organization and management; prevention and control; rural health care; ST segment elevation myocardial infarction; telemedicine; COVID-19; Health Services Accessibility; Humans; Rural Health Services; ST Elevation Myocardial Infarction; Telemedicine |
W.B. Saunders |
07356757 |
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32561139 |
Letter |
Q1 |
725 |
6828 |
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490 |
Oswari H., Kresnawati W., Yani A., Handjari D.R., Alatas F.S. |
12777323800;57210461975;57215433374;56160657900;57217150164; |
Abdominal Injury-Induced Gastric Outlet Obstruction in Primary Hypertrophic Pyloric Stenosis in Adolescent |
2021 |
Indian Journal of Surgery |
83 |
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264 |
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1 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080887785&doi=10.1007%2fs12262-020-02097-y&partnerID=40&md5=341dca515f2fe3bdfc0a38dee8ba2ddb |
Department of Child Health, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia; Department of Pediatric Surgery, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia; Department of Pathology Anatomy, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia |
Oswari, H., Department of Child Health, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia; Kresnawati, W., Department of Child Health, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia; Yani, A., Department of Pediatric Surgery, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia; Handjari, D.R., Department of Pathology Anatomy, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia; Alatas, F.S., Department of Child Health, Cipto Mangunkusumo Hospital-Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No. 6, Jakarta, 10430, Indonesia |
[No abstract available] |
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Springer |
09722068 |
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Letter |
Q4 |
183 |
20483 |
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492 |
Maulidina F., Rustam Z., Hartini S., Wibowo V.V.P., Wirasati I., Sadewo W. |
57221906584;26422482100;57211529061;57221911837;57221806240;55014544900; |
Feature optimization using Backward Elimination and Support Vector Machines (SVM) algorithm for diabetes classification |
2021 |
Journal of Physics: Conference Series |
1821 |
1 |
012006 |
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1 |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103897338&doi=10.1088%2f1742-6596%2f1821%2f1%2f012006&partnerID=40&md5=26c4c2f598bd765549c0283978c63185 |
Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Maulidina, F., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Rustam, Z., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Hartini, S., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Wibowo, V.V.P., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Wirasati, I., Departement of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Sadewo, W., Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Diabetes is a disease that occurs when the blood glucose level is higher than normal and also leads to health problems. Early and accurate diagnosis needs to be carried out on individuals affected by this disease. Furthermore, excellent treatment needs to be provided to prevent worse situations. Some studies have used several machine learning methods to diagnose diabetes. Furthermore, in this study, the Backward Elimination and Support Vector Machine (SVM) algorithm was used to classify the PIMA Indians diabetes dataset. It consisted of 268 diabetic and 500 non-diabetic patients with eight attributes. Backward Elimination is a feature selection method used to remove irrelevant features based on the linear regression model. Using this method, the right features for the model was expected. This method has some advantages which include increasing training time, decreasing complexity and improving performance and accuracy. Therefore, the performance of SVM improved. Based on the experiments, it was discovered that by combining feature selection algorithm (backward elimination) and SVM, the highest accuracy obtained was 85.71% using 90% data training. Therefore, it was concluded that Backward Elimination combined with SVM algorithm is an excellent method to classify diabetes by using the PIMA Indians diabetes dataset. © Published under licence by IOP Publishing Ltd. |
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Classification (of information); Diagnosis; Experimental mineralogy; Feature extraction; Learning systems; Regression analysis; Feature optimizations; Feature selection algorithm; Feature selection methods; Improving performance; Linear regression models; Machine learning methods; Support vector machine algorithm; Support vector machines algorithms; Support vector machines |
IOP Publishing Ltd |
17426588 |
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Conference Paper |
Q4 |
210 |
18731 |
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493 |
Wibowo V.V.P., Rustam Z., Hartini S., Maulidina F., Wirasati I., Sadewo W. |
57221911837;26422482100;57211529061;57221906584;57221806240;55014544900; |
Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine |
2021 |
Journal of Physics: Conference Series |
1821 |
1 |
012007 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103891589&doi=10.1088%2f1742-6596%2f1821%2f1%2f012007&partnerID=40&md5=8b428e7f3e510029f71b6c464cefbd2d |
Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Wibowo, V.V.P., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Rustam, Z., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Hartini, S., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Maulidina, F., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Wirasati, I., Department of Mathematics, University of Indonesia, Depok, 16424, Indonesia; Sadewo, W., Department of Neurosurgery, Faculty of Medicine, University of Indonesia, Dr. Cipto Mangunkusumo National General Hospital, Indonesia |
Ovarian cancer is one of the common malignancies in women and a known cause of death. This condition occurs when a tumor appears from the growth of abnormal cells in the ovary. It causes about 140.000 deaths out of 225.000 cases annually. Most women with ovarian cancer do not have distinctive signs and symptoms even at the late stage. Therefore, diagnosis at an early stage is necessary because it has a significant impact on the survival rate. Machine learning with various methods can be used in the medical field to classify diseases. Among the many methods, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were used and analyzed in this study to classify ovarian cancer. The data used were from Al Islam Bandung Hospital consisting of 203 instances with 130 labeled ovarian cancer and 73 as non-ovarian. The results showed that the KNN produced higher results than SVM with 90.47% of accuracy and 94.11% of F1-score, while SVM produced accuracy and F1-score values of 90.47% and 92.30% respectively. © Published under licence by IOP Publishing Ltd. |
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Diagnosis; Diseases; Motion compensation; Nearest neighbor search; F1 scores; K nearest neighbor (KNN); K-nearest neighbors; Late stage; Medical fields; Ovarian cancers; Survival rate; Support vector machines |
IOP Publishing Ltd |
17426588 |
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Conference Paper |
Q4 |
210 |
18731 |
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