Corey Chivers - RankMe

11 papers A 2Misc 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic. J. Am. Medical Informatics Assoc. Ravi B. Parikh, Yichen Zhang, Likhitha Kolla, Corey Chivers, Katherine R. Courtright, Jingsan Zhu, Amol S. Navathe, Jinbo Chen
2022	Misc	`conf`	Monitoring Performance of a Deployed Machine Learning Model that Predicts Long-term Mortality for Targeting Inpatient Palliative Care. AMIA Sameh N. Saleh, Corey Chivers, Jason Lubken, Katherine R. Courtright, Gary E. Weissman, Daniel Herman
2022	J	`jnl`	Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression. CoRR Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Michael J. Bonham, Julianna D. Ianni
2022	—	`conf`	Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression. ECCV Workshops (7) Sean Grullon, Vaughn Spurrier, Jiayi Zhao, Corey Chivers, Yang Jiang, Kiran Motaparthi, Jason B. Lee, Michael J. Bonham, Julianna D. Ianni
2020	A	`conf`	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. AISTATS Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2020	J	`jnl`	Sparse multi-output Gaussian processes for online medical time series prediction. BMC Medical Informatics Decis. Mak. Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2019	—	`conf`	Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different? ML4H@NeurIPS 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
2019	J	`jnl`	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. CoRR Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2018	J	`jnl`	Machine Learning for Health (ML4H) Workshop at NeurIPS 2018. CoRR 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, Jasvinder S. Kandola, Matthew B. A. McDermott, Tristan Naumann, Peter Schulam, Farah Shamout, Alexandre Yahi
2017	A	`conf`	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. UAI Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt
2017	J	`jnl`	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. CoRR Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt