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
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
  • [1] evalPM: a framework for evaluating machine learning models for particulate matter prediction
    Lucas Woltmann
    Jonas Deepe
    Claudio Hartmann
    Wolfgang Lehner
    Environmental Monitoring and Assessment, 2023, 195
  • [2] evalPM: a framework for evaluating machine learning models for particulate matter prediction
    Woltmann, Lucas
    Deepe, Jonas
    Hartmann, Claudio
    Lehner, Wolfgang
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (12)
  • [3] A machine learning framework for evaluating the biodiesel properties for accurate modeling of spray and combustion processes
    Thangaraja, J.
    Zigan, Lars
    Rajkumar, Sundararajan
    FUEL, 2023, 334
  • [4] Machine Learning for Evaluating and Improving Theories
    Fudenberg, Drew
    Liang, Annie
    ACM SIGECOM EXCHANGES, 2020, 18 (01) : 4 - 11
  • [5] A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework
    Ali, Abdulrahim
    Jayaraman, Raja
    Azar, Elie
    Maalouf, Maher
    BUILDING AND ENVIRONMENT, 2024, 252
  • [6] Machine Learning With Neuroimaging: Evaluating Its Applications in Psychiatry
    Nielsen, Ashley N.
    Barch, Deanna M.
    Petersen, Steven E.
    Schlaggar, Bradley L.
    Greene, Deanna J.
    BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 2020, 5 (08) : 791 - 798
  • [7] Evaluating sustainability of mobile learning framework for higher education: a machine learning approach
    Dolawattha, Dhammika Manjula
    Premadasa, H. K. Salinda
    Jayaweera, Prasad M.
    INTERNATIONAL JOURNAL OF INFORMATION AND LEARNING TECHNOLOGY, 2022, 39 (03) : 266 - 281
  • [8] Machine Learning in oncology: A clinical appraisal
    Cuocolo, Renato
    Caruso, Martina
    Perillo, Teresa
    Ugga, Lorenzo
    Petretta, Mario
    CANCER LETTERS, 2020, 481 : 55 - 62
  • [9] Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
    Boussioux, Leonard
    Zeng, Cynthia
    Guenais, Theo
    Bertsimas, Dimitris
    WEATHER AND FORECASTING, 2022, 37 (06) : 817 - 831
  • [10] Inverse machine learning framework for optimizing lightweight metamaterials
    Challapalli, Adithya
    Patel, Dhrumil
    Li, Gouqiang
    MATERIALS & DESIGN, 2021, 208