A Clinical Framework for Evaluating Machine Learning Studies

被引：3
|
作者：
Ghazi, Lama [1 ]
Ahmad, Tariq [2 ]
Wilson, Francis Perry [1 ]
机构：
[1] Yale Sch Med, Clin & Translat Res Accelerator, New Haven, CT 06410 USA
[2] Yale Sch Med, Sect Cardiovasc Med, New Haven, CT 06410 USA
来源：
JACC-HEART FAILURE | 2022年 / 10卷 / 09期
关键词：
evaluation; implementation science; machine learning; prediction; prognostic modeling; PREDICTION;
D O I：
10.1016/j.jchf.2022.07.002
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：648 / 650
页数：3
相关论文
共 50 条
  • [31] Machine learning in cardiology: Clinical application and basic research
    Komuro, Jin
    Kusumoto, Dai
    Hashimoto, Hisayuki
    Yuasa, Shinsuke
    JOURNAL OF CARDIOLOGY, 2023, 82 (02) : 128 - 133
  • [32] Clinical performance of automated machine learning: A systematic review
    Thirunavukarasu, Arun James
    Elangovan, Kabilan
    Gutierrez, Laura
    Hassan, Refaat
    Li, Yong
    Tan, Ting Fang
    Cheng, Haoran
    Teo, Zhen Ling
    Lim, Gilbert
    Ting, Daniel Shu Wei
    ANNALS ACADEMY OF MEDICINE SINGAPORE, 2024, 53 (03) : 187 - 207
  • [33] Recommendations for Reporting Machine Learning Analyses in Clinical Research
    Stevens, Laura M.
    Mortazavi, Bobak J.
    Deo, Rahul C.
    Curtis, Lesley
    Kao, David P.
    CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2020, 13 (10): : E006556
  • [34] Machine learning in marketing: A literature review, conceptual framework, and research agenda
    Ngai, Eric W. T.
    Wu, Yuanyuan
    JOURNAL OF BUSINESS RESEARCH, 2022, 145 : 35 - 48
  • [35] NIR Spectroscopy Oranges Origin Identification Framework Based on Machine Learning
    Dan, Songjian
    INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2022, 18 (01)
  • [36] IDMPF: intelligent diabetes mellitus prediction framework using machine learning
    Ismail, Leila
    Materwala, Huned
    APPLIED COMPUTING AND INFORMATICS, 2025, 21 (1/2) : 78 - 89
  • [37] A framework for data regression of heat transfer data using machine learning
    Loyola-Fuentes, Jose
    Nazemzadeh, Nima
    Diaz-Bejarano, Emilio
    Mancin, Simone
    Coletti, Francesco
    APPLIED THERMAL ENGINEERING, 2024, 248
  • [38] A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment
    Zhang, Tingqi
    Sun, Mingyang
    Cremer, Jochen L.
    Zhang, Ning
    Strbac, Goran
    Kang, Chongqing
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (05) : 3907 - 3920
  • [39] Ensemble machine learning framework for daylight modelling of various building layouts
    Alsharif, Rashed
    Arashpour, Mehrdad
    Golafshani, Emad
    Bazli, Milad
    Mohandes, Saeed Reza
    BUILDING SIMULATION, 2023, 16 (11) : 2049 - 2061
  • [40] A novel triage framework for emergency department based on machine learning paradigm
    Menshawi, Alaa Mohammad
    Hassan, Mohammad Mehedi
    EXPERT SYSTEMS, 2025, 42 (02)
12345