Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

• Main Authors: Vaid, Akhil (Author), Somani, Sulaiman (Author), Russak, Adam J (Author), De Freitas, Jessica K (Author), Chaudhry, Fayzan F (Author), Paranjpe, Ishan (Author), Johnson, Kipp W (Author), Lee, Samuel J (Author), Miotto, Riccardo (Author), Richter, Felix (Author), Zhao, Shan (Author), Beckmann, Noam D (Author), Naik, Nidhi (Author), Kia, Arash (Author), Timsina, Prem (Author), Lala, Anuradha (Author), Paranjpe, Manish (Author), Golden, Eddye (Author), Danieletto, Matteo (Author), Singh, Manbir (Author), Meyer, Dara (Author), O'Reilly, Paul F (Author), Huckins, Laura (Author), Kovatch, Patricia (Author), Finkelstein, Joseph (Author), Freeman, Robert M. (Author), Argulian, Edgar (Author), Kasarskis, Andrew (Author), Percha, Bethany (Author), Aberg, Judith A (Author), Bagiella, Emilia (Author), Horowitz, Carol R (Author), Murphy, Barbara (Author), Nestler, Eric J (Author), Schadt, Eric E (Author), Cho, Judy H (Author), Cordon-Cardo, Carlos (Author), Fuster, Valentin (Author), Charney, Dennis S (Author), Reich, David L (Author), Bottinger, Erwin P (Author), Levin, Matthew A (Author), Narula, Jagat (Author), Fayad, Zahi A (Author), Just, Allan C (Author), Charney, Alexander W (Author), Nadkarni, Girish N (Author), Glicksberg, Benjamin S (Author)
• Format: Book
• Published: JMIR Publications, 2020-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundCOVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking. O...