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

PaperCitations, authors & open-access status

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 240 citations, 2020 year and gold oa status.

240
Citations
2020
Year
gold
OA Status

Related on ScholarIQ

Girish N. Nadkarni
Author
Felix Richter
Author
Journal of Medical Internet Research
Journal
Machine Learning in Healthcare
Topic
Machine Learning in Healthcare
Topic
COVID-19 diagnosis using AI
Topic
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