The intelligent decalogue.
Critical appraisal of documents that employ machine learning.
DOI:
https://doi.org/10.30445/rear.v16i1.1235Keywords:
artificial intelligence, machine learning, critical appraisingAbstract
The aspects that must be assessed for the critical appraisal of documents that use machine learning techniques are reviewed, including the selection of participants, the treatment of the data during the development of the model and its final implementation in clinical practice.
References
- Al-Zaiti SS, Alghwiri AA, Hu X, Clermont G, Peace A, Macfarlane P, et al. A clinician’s guide to understanding and critically appraising machine learning studies: a checklist for Ruling Out Bias Using Standard Tools in Machine Learning (ROBUST-ML). Eur Heart J Digit Health. 2022;3:125-40.
- Faes L, Liu X, Wagner SK, Fu DJ, Balaskas K, Sim DA, et al. A clinician’s guide to artificial intelligence: how to critically appraise machine learning studies. Trans Vis Sci Tech. 2020;9:7.
- Vinny PW, Garg R, Srivastava MVP, Lal V, Vishnu VY. critical appraisal of a machine learning paper: a guide for the neurologist. Ann Indian Acad Neurol. 2021;24:481-9.
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