Review: Predicting mortality risk in patients with COVID-19 using artificial intelligence to help medical decision-making

Home/Review: Predicting mortality risk in patients with COVID-19 using artificial intelligence to help medical decision-making

Review: Predicting mortality risk in patients with COVID-19 using artificial intelligence to help medical decision-making

Review: Predicting mortality risk in patients with COVID-19 using artificial intelligence to help medical decision-making

This study proposes an artificial intelligence (AI) model to help hospitals and medical facilities decide who needs to get attention first, who has higher priority to be hospitalized, triage patients when the system is overwhelmed by overcrowding, and eliminate delays in providing the necessary care.

The authors developed a predictive model based on AI and Machine Learning algorithms to determine the health risk and predict the mortality risk of patients with COVID-19.

Data were from 117,000 patients world-wide with laboratory-confirmed COVID-19.

The results demonstrate 93% overall accuracy in predicting the mortality rate in patients with COVID-19 based on the patients’ physiological conditions, symptoms, and demographic information.

|2020-04-02T11:54:16-04:00April 2nd, 2020|COVID-19 Literature|Comments Off on Review: Predicting mortality risk in patients with COVID-19 using artificial intelligence to help medical decision-making

About the Author: Erika Cheng

Erika Cheng

Get Involved with Indiana CTSI