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Disambiguation of "Sendak, Mark"

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Do no harm: a roadmap for responsible machine learning for health care

, , , , , , , , , , , , and . Nature Medicine, 25 (9): 1337--1340 (2019)
DOI: 10.1038/s41591-019-0548-6

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Mark Yampolsky

Maßnahmen zur Sicherung von E2E-QoS bei verketteten Diensten. Uni München, (2009)

Mark Schütte

Crf2 - ein neues Antigen von Aspergillus fumigatus. TU Braunschweig, (2009)

Mark Yampolskiy

Maßnahmen zur Sicherung von E2E-QoS bei verketteten Diensten. Uni München, (2009)

Ana Markovi

Experimental and theoretical analysis of the mass transport through porous glass membranes with different pore diameters. Uni Magdeburg, (2009)

Mark Lipschitz

 

Other publications of authors with the same name

Do no harm: a roadmap for responsible machine learning for health care, , , , , , , , , and 3 other author(s). Nature Medicine, 25 (9): 1337--1340 (2019)From pre-test and post-test probabilities to medical decision making., , , , , , and . BMC Medical Informatics Decis. Mak., 24 (1): 210 (December 2024)"The human body is a black box": supporting clinical decision-making with deep learning., , , , , , , , and . FAT*, page 99-109. ACM, (2020)An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection., , , , , , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 243-254. PMLR, (2017)Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease., , , and . UAI, AUAI Press, (2016)Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data., , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 42-54. JMLR.org, (2016)Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning Based Predictive Models: Illustrative Case Studies., , , and . AMIA, AMIA, (2019)Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare., , , , , , , , , and 13 other author(s). MLHC, volume 182 of Proceedings of Machine Learning Research, page 741-759. PMLR, (2022)Presenting machine learning model information to clinical end users with model facts labels., , , and . npj Digit. Medicine, (2020)A framework for understanding label leakage in machine learning for health care., , , and . J. Am. Medical Informatics Assoc., 31 (1): 274-280 (December 2023)