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
  • [41] Enhancing the value to users of machine learning-based clinical decision support tools: A framework for iterative, collaborative development and implementation
    Singer, Sara J.
    Kellogg, Katherine C.
    Galper, Ari B.
    Viola, Deborah
    HEALTH CARE MANAGEMENT REVIEW, 2022, 47 (02) : E21 - E31
  • [42] Evaluating the tensile strength of reinforced concrete using optimized machine learning techniques
    Albaijan, Ibrahim
    Mahmoodzadeh, Arsalan
    Flaih, Laith R.
    Ibrahim, Hawkar Hashim
    Alashker, Yasser
    Mohammed, Adil Hussein
    ENGINEERING FRACTURE MECHANICS, 2023, 292
  • [43] Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study
    He, Xin
    Bai, Xiang-Hui
    Chen, Hui
    Feng, Wei-Wei
    JOURNAL OF OVARIAN RESEARCH, 2024, 17 (01)
  • [44] PreAcrs: a machine learning framework for identifying anti-CRISPR proteins
    Zhu, Lin
    Wang, Xiaoyu
    Li, Fuyi
    Song, Jiangning
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [45] Machine Learning for a Heterogeneous Water Modeling Framework
    Frame, Jonathan M.
    Araki, Ryoko
    Bhuiyan, Soelem Aafnan
    Bindas, Tadd
    Rapp, Jeremy
    Bolotin, Lauren
    Deardorff, Emily
    Liu, Qiyue
    Haces-Garcia, Francisco
    Liao, Mochi
    Frazier, Nels
    Ogden, Fred L.
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2025, 61 (01):
  • [46] Machine learning in a graph framework for subcortical segmentation
    Guo, Zhihui
    Kashyap, Satyananda
    Sonka, Milan
    Oguz, Ipek
    MEDICAL IMAGING 2017: IMAGE PROCESSING, 2017, 10133
  • [47] Hybrid machine learning framework for hydrological assessment
    Kim, Jungho
    Han, Heechan
    Johnson, Lynn E.
    Lim, Sanghun
    Cifelli, Rob
    JOURNAL OF HYDROLOGY, 2019, 577
  • [48] Machine learning applications for biochar studies: A mini-review
    Wang, Wei
    Chang, Jo-Shu
    Lee, Duu-Jong
    BIORESOURCE TECHNOLOGY, 2024, 394
  • [49] Applications of Machine Learning Methods in the Studies of Polymer Glass Formation
    Yang, Zhen-yue
    Nie, Wen-jian
    Liu, Lun-yang
    Xu, Xiao-lei
    Xia, Wen-jie
    Xu, Wen-sheng
    ACTA POLYMERICA SINICA, 2023, 54 (04): : 432 - 450
  • [50] A review of machine learning applications in life cycle assessment studies
    Romeiko, Xiaobo Xue
    Zhang, Xuesong
    Pang, Yulei
    Gao, Feng
    Xu, Ming
    Lin, Shao
    Babbitt, Callie
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 912
12345