A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients
Author:
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671933.pdf?arnumber=9671933
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1. Differences in length of stay and discharge destination among patients with substance use disorders: The effect of Substance Use Intervention Team (SUIT) consultation service
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4. Using machine learning to predict length of stay and discharge destination for hip-fracture patients;elbattah;Lecture Notes in Networks and Systems,2018
5. Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network
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1. Analysis and Prediction of In- Hospital Risks Among COVID-19 Patients with Substance Use Disorder (SUD);2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02
2. Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning Techniques;2023 IEEE International Conference on Big Data (BigData);2023-12-15
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