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2020 – today
- 2023
[j1]Ravi B. Parikh, Yichen Zhang, Likhitha Kolla, Corey Chivers
, Katherine R. Courtright, Jingsan Zhu, Amol S. Navathe, Jinbo Chen:
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic. J. Am. Medical Informatics Assoc. 30(2): 348-354 (2023)
2010 – 2019
- 2019
- [c3]Victor J. Lei, Edward H. Kennedy, ThaiBinh Luong, Xinwei Chen, Daniel E. Polsky, Kevin G. Volpp, Mark D. Neuman, John H. Holmes, Lee A. Fleisher, Amol S. Navathe:
Model Performance Metrics in Assessing the Value of Adding Intraoperative Data for Death Prediction: Applications to Noncardiac Surgery. MedInfo 2019: 223-227 - 2018
- [c2]Victor J. Lei, Mark D. Neuman, Mark G. Weiner, ThaiBinh Luong, Alex M. Bain, Daniel E. Polsky, Kevin G. Volpp, John H. Holmes, Amol S. Navathe:
Applying Predictive Analytics on Administrative and Perioperative Data to Assess Physician Decision Making and Post-Operative Testing for Acute Myocardial Infarction. AMIA 2018 - 2015
- [c1]Li Zhou, Amy W. Baughman, Victor J. Lei, Kenneth H. Lai, Amol S. Navathe, Frank Y. Chang, Margarita Sordo, Maxim Topaz, Feiran Zhong, Madhavan Murrali, Shamkant B. Navathe, Roberto A. Rocha:
Identifying Patients with Depression Using Free-text Clinical Documents. MedInfo 2015: 629-633
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