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Interpretability of machine learning-based prediction models in healthcare.

, , , , , and . WIREs Data Mining Knowl. Discov., (2020)

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Evaluation of Mobile Phone Mortality Risk Score Applications Using Data from the Electronic Medical Records., , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 1273-1274. IOS Press, (2020)Interpretability of machine learning-based prediction models in healthcare., , , , , and . WIREs Data Mining Knowl. Discov., (2020)Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study., , , and . AIME, volume 13263 of Lecture Notes in Computer Science, page 373-382. Springer, (2022)Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients., , , , and . ICONIP (4), volume 1142 of Communications in Computer and Information Science, page 624-632. Springer, (2019)Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data., , , , , , , , , and . Comput. Math. Methods Medicine, (2019)Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening., , , and . KR4HC/ProHealth/TEAAM@AIME, volume 11979 of Lecture Notes in Computer Science, page 108-119. Springer, (2019)Relevance of automated generated short summaries of scientific abstract: use case scenario in healthcare., , , , and . ICHI, page 599-605. IEEE, (2022)