Prediction models are used in clinical research to develop rules that can be used to accurately predict the outcome of the patients based on some of their characteristics. They represent a valuable tool in the decision making process of clinicians and health policy makers, as they enable them to estimate the probability that patients have or will develop a disease, will respond to a treatment, or that their disease will recur.
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Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction models
Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction models
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BMC Bioinformatics Prediction models Class-imbalance Random undersampling Simple oversampling Cross-validationTài liệu có liên quan:
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