Predictive modeling for COVID-19 readmission risk using machine learning algorithms.

Mostafa Shanbehzadeh Mostafa Shanbehzadeh Mohsen Shafiee Hadi Kazemi-Arpanahi

Published in: BMC medical informatics and decision making (2022)

Our findings show that the WWO algorithm predicts the risk of readmission of COVID-19 patients more accurately than other ML algorithms. The models developed herein can inform frontline clinicians and healthcare policymakers to manage and optimally allocate limited hospital resources to seriously ill COVID-19 patients.

Keyphrases

sars cov
machine learning
healthcare
deep learning
respiratory syndrome coronavirus
coronavirus disease
acute care
adverse drug
emergency department
social media