Enhancing Intensive Care Patient Prognostics with Machine Learning
Author:
Affiliation:
1. National School of Applied Sciences, Ibn Tofail University, Morocco
2. Computer Science Departement, Perception, Robotics, and Intelligent Machines Research Group (PRIME), Université de Moncton, Canada
Funder
New Brunswick Innovation Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3628797.3628974
Reference14 articles.
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4. Effective hospital readmission prediction models using machine-learned features
5. Prediction of Early Unplanned Intensive Care Unit Readmission in UK Tertiary Care Hospitals;Calvert;Journal of Critical Care,2017
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