Corrigendum to “Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study” [Int. J. Med. Inform. 195 (2025) 105775]
IF 4.1 2区 医学Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Junmo Kim , Su Hyun Park , Hyesu Lee , Su Kyoung Lee , Jihye Kim , Suhyun Kim , Yong Jin Kwon , Kwangsoo Kim
{"title":"Corrigendum to “Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study” [Int. J. Med. Inform. 195 (2025) 105775]","authors":"Junmo Kim , Su Hyun Park , Hyesu Lee , Su Kyoung Lee , Jihye Kim , Suhyun Kim , Yong Jin Kwon , Kwangsoo Kim","doi":"10.1016/j.ijmedinf.2025.106038","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54950,"journal":{"name":"International Journal of Medical Informatics","volume":"203 ","pages":"Article 106038"},"PeriodicalIF":4.1000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386505625002552","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍:
International Journal of Medical Informatics provides an international medium for dissemination of original results and interpretative reviews concerning the field of medical informatics. The Journal emphasizes the evaluation of systems in healthcare settings.
The scope of journal covers:
Information systems, including national or international registration systems, hospital information systems, departmental and/or physician''s office systems, document handling systems, electronic medical record systems, standardization, systems integration etc.;
Computer-aided medical decision support systems using heuristic, algorithmic and/or statistical methods as exemplified in decision theory, protocol development, artificial intelligence, etc.
Educational computer based programs pertaining to medical informatics or medicine in general;
Organizational, economic, social, clinical impact, ethical and cost-benefit aspects of IT applications in health care.