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AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.

, , , , , , and . J. Biomed. Informatics, (2022)

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HRnV-Calc: A Software for Heart Rate n-Variability and Heart Rate Variability Analysis., , , , , , , , , and . J. Open Source Softw., 8 (87): 5391 (July 2023)Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records., , , , , , , , , and 3 other author(s). CoRR, (2021)Federated and distributed learning applications for electronic health records and structured medical data: A scoping review., , , , , , , , , and 5 other author(s). CoRR, (2023)Towards clinical AI fairness: A translational perspective., , , , , , , , , and 5 other author(s). CoRR, (2023)HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis., , , , , , , , and . CoRR, (2021)Shapley variable importance cloud for interpretable machine learning., , , , , , and . Patterns, 3 (4): 100452 (2022)Prediction of ROSC After Cardiac Arrest Using Machine Learning., , , , , , , , , and 2 other author(s). MIE, volume 270 of Studies in Health Technology and Informatics, page 1357-1358. IOS Press, (2020)Patient classification based on pre-hospital heart rate variability., , , and . APCCAS, page 125-128. IEEE, (2008)Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department., , , , , , and . AMIA, AMIA, (2019)Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare., , , , , , , and . CoRR, (2024)