To the Editor We read with great interest the article by Wang et al.1 In their study, the authors applied deep learning techniques to predict 1-year risk of nonmelanoma skin cancer from clinical diagnostic information and medical records, including medication received. Their model showed an area under the receiver operating characteristic curve of 0.89 (95% CI, 0.87-0.91), which is impressive accuracy. However, the study may have important flaws in its design that are likely to have biased upward the estimation of the model’s accuracy.
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Vivot A, Grégory J, Porcher R. Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model. JAMA Dermatol. 2020;156(4):472–473. doi:10.1001/jamadermatol.2019.4919
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