A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. - Niranjani Prasad; Li-Fang Cheng; Corey Chivers; Michael Draugelis; Barbara E. Engelhardt (UAI, 2017)

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. - Natalia Antropova; Andrew L. Beam; Brett K. Beaulieu-Jones; Irene Chen; Corey Chivers; Adrian V. Dalca; Samuel G. Finlayson; Madalina Fiterau; Jason Alan Fries; Marzyeh Ghassemi; Mike Hughes; Bruno Jedynak; et al. (CoRR, 2018)

Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning Based Predictive Models: Illustrative Case Studies. - Yindalon Aphinyanaphongs; Jonathan K. Wilt; Corey J. Chivers; Mark P. Sendak (AMIA, 2019)

Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? - Adrian V. Dalca; Matthew B. A. McDermott; Emily Alsentzer; Samuel G. Finlayson; Michael Oberst; Fabian Falck; Corey Chivers; Andrew Beam; Tristan Naumann; Brett K. Beaulieu-Jones (ML4H@NeurIPS, 2019)

Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. - Li-Fang Cheng; Bianca Dumitrascu; Michael Minyi Zhang; Corey Chivers; Michael Draugelis; Kai Li 001; Barbara E. Engelhardt (AISTATS, 2020)

Sparse multi-output Gaussian processes for online medical time series prediction. - Li-Fang Cheng; Bianca Dumitrascu; Gregory Darnell; Corey Chivers; Michael Draugelis; Kai Li 001; Barbara E. Engelhardt (BMC Medical Informatics Decis. Mak., 2020)

Monitoring Performance of a Deployed Machine Learning Model that Predicts Long-term Mortality for Targeting Inpatient Palliative Care. - Sameh N. Saleh; Corey Chivers; Jason Lubken; Katherine R. Courtright; Gary E. Weissman; Daniel Herman (AMIA, 2022)

Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression. - Sean Grullon; Vaughn Spurrier; Jiayi Zhao; Corey Chivers; Yang Jiang; Kiran Motaparthi; Jason B. Lee; Michael J. Bonham; Julianna D. Ianni (ECCV Workshops (7), 2022)

Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression. - Sean Grullon; Vaughn Spurrier; Jiayi Zhao; Corey Chivers; Yang Jiang; Kiran Motaparthi; Michael J. Bonham; Julianna D. Ianni (CoRR, 2022)

Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic. - Ravi B. Parikh; Yichen Zhang; Likhitha Kolla; Corey Chivers; Katherine R. Courtright; Jingsan Zhu; Amol S. Navathe; Jinbo Chen (J. Am. Medical Informatics Assoc., 2023)