2017 - Cheng, L. F., Darnell, G., Chivers, C., Draugelis, M. E., Li, K., & Engelhardt, B. E. (2017). Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction. arXiv preprint arXiv:1703.09112.
2017 - Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E Engelhardt. A reinforcement learning approach to weaning of mechanical ventilation in intensive care units, Proceedings of Uncertainty in Artificial Intelligence (UAI), 2017.
2017 - Giannini, H. M., Chivers, C., Draugelis, M., Hanish, A., Fuchs, B., Donnelly, P., & Mikkelsen, M. E. (2017). Development and Implementation of a Machine-Learning Algorithm for Early Identification of Sepsis in A Multi-Hospital Academic Healthcare System. American Journal of Respiratory and Critical Care Medicine. 195.
2017 - C Chivers, V Panchanadam, M Draugelis, D Do, A Huffenberger, M Stepanik, S Gudowski, A Hanish, MB Fuchs, M Frazer Cereda, M Pierce, C Maguire, M Olson, A Gabrielli, WC Hanson, P Sullivan, PJ Brennan. (2017) Accuracy and Opportunity of An Automated Ventilator and Sedation Weaning Alert Program. Am J Respir Crit Care Med. 195.
2017 - AMIA Panel, The Good, The Bad, and The Ugly of Deploying and Adopting Machine Learning-Based Models in Clinical Practice, Yin Aphinyanaphongs ; David Holmes ; Berkman Sahiner ; Parsa Mirhaji ; Michael Draugelis
2018 - BJ Anderson, D Do, C Chivers, K Choi, E Gitelman, M Draugelis, S Mehta, BD Fuchs. (2018) Clinical Impact of an Electronic Dashboard and Alert System That Promotes Sedation Minimization and Ventilator Liberation. Am J Respir Crit Care Med. 197.
2018 - Steven W Gudowski, Margarete Pierce, Barry Fuchs and Michael Frazer. Rapid Liberation From Mechanical Ventilation, the ICU and Hospital by Using an ICU Dashboard and Alert Program, Respiratory Care October 2018, 63 (Suppl 10) 3025698
2019 - Courtright, K.R, Chivers, C., Becker, M., Regli, S.H., Pepper, L.C, Draugelis, M.E. (in prep) A pilot study of targeted palliative care using an electronic health record mortality prediction model. Pre-Publication Link
2019 - Ginestra JC, Giannini HM, Schweickert WD, Meadows L, Lynch MJ, Pavan K, Chivers CJ, Draugelis M, Donnelly PJ, Fuchs BD, Umscheid CA. Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock. Crit Care Med. 2019 May 24. doi: 10.1097/CCM.0000000000003803. [Epub ahead of print] PMID: 31135500
2019 - Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt. (2019). Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. arXiv preprint arXiv:1906.00226.
2019 - Ravi Parikh, Christopher Manz 2019 October 21, Supportive Care in Oncology Symposium, Oral Abstract Session A, Abstract Title: Derivation and implementation of a machine learning approach to prompt serious illness conversations among outpatients with cancer.
2019 - AMIA Panel, Translating, Implementing, Deploying, and Evaluating Clinical Interventions Using Machine Learning-Based Predictive Models: Illustrative Case Studies on November 17, 2019. Y. Aphinyanaphongs, NYU Langone Health; J. Wilt, Oschner Health System; C. Chivers, Penn Medicine; M. Sendak, Duke Institute for Health Innovation
2019 - Parikh RB, Manz C, Chivers C, et al. Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer. JAMA Netw Open. Published online October 25, 20192(10):e1915997. doi:10.1001/jamanetworkopen.2019.15997
2019 - Beaulieu-Jones B, Finlayson SG, Chivers C, et al. Trends and Focus of Machine Learning Applications for Health Research. JAMA Netw Open. Published online October 25, 20192(10):e1914051. doi:10.1001/jamanetworkopen.2019.14051
2015 - Penn Medicine’s Michael Draugelis and Intel’s Ron Kasabian delivering the keynote address, “Improving Medical Decision Making with Predictive Analytics on Big Data,” at the 2015 Strata + Hadoop World data conference in New York City. (Video copyright: O’Reilly Media.) https://www.youtube.com/watch?v=PpSXcnJwt04</li>