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

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