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Disha Purohit

Max Planck Institute of Experimental Medicine

Germany

  • Max Planck Institute of Experimental Medicine

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Scholarly Papers (1)

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Development and Evaluation of a Machine Learning-Based In-Hospital COVID-19 Disease Outcome Predictor (CODOP): A Multicontinental Retrospective Study

Number of pages: 17 Posted: 10 Sep 2021
Riku Klén, Disha Purohit, Ricardo Gómez-Huelgas, José Manuel Casas-Rojo, Juan Miguel Antón Santos, Jesús Millán Núñez-Cortés, Carlos Lumbreras, José M. Ramos-Rincón, Pablo Young, Juan Ignacio Ramírez, Estela Edith Titto Omonte, Rosmery Gross Artega, Magdy Teresa Canales Beltrán, Pascual Valdez, Florencia Pugliese, Rosa Castagna, Nico Funke, Benjamin Leiding and David Gomez Varela
University of Turku - Turku PET Centre, Max Planck Institute of Experimental Medicine, University of Málaga (UMA) - Internal Medicine Department, Infanta Cristina Universitary Hospital - Internal Medicine Department, Infanta Cristina Universitary Hospital - Internal Medicine Department, Hospital Universitario Gregorio Marañón - Internal Medicine Department, Instituto de Investigación Sanitaria Hospital "12 de Octubre" - Department of Internal Medicine, Universidad de Alicante - Department of Internal Medicine, British Hospital - Clinical Medicine service, British Hospital - Clinical Medicine service, Caja Petrolera de Salud - Internal Medicine Service, Hospital San Juan de Dios - Epidemiology Unit, Hospital Honduras Medical Centre - Instituto Hondureño of social security, Hospital Vélez Sarsfield, Hospital Vélez Sarsfield, Hospital Vélez Sarsfield, Max Planck Institute of Experimental Medicine, Technical University Clausthal - Institute for Software and Systems Engineering and Max Planck Institute of Experimental Medicine
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Abstract:

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COVID-19, in-hospital mortality prediction, machine learning