Predicting the Length of Stay of Cardiac Patients Based on Pre-Operative Variables—Bayesian Models vs. Machine Learning Models

Predicting the Length of Stay of Cardiac Patients Based on Pre-Operative Variables—Bayesian Models vs. Machine Learning Models

Length of stay (LoS) prediction is deemed important for a medical institution’s operational and logistical efficiency. Sound estimates of a patient’s stay increase clinical preparedness and reduce aberrations. Various statistical methods and techniques are used to quantify and predict the LoS of a p...

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Bibliographic Details
Main Authors: Ibrahim Abdurrab, Tariq Mahmood, Sana Sheikh, Saba Aijaz, Muhammad Kashif, Ahson Memon, Imran Ali, Ghazal Peerwani, Asad Pathan, Ahmad B. Alkhodre, Muhammad Shoaib Siddiqui
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Healthcare
Subjects:
length of stay
Bayesian inference
hierarchical Bayesian regression
machine learning
Online Access:https://www.mdpi.com/2227-9032/12/2/249

Internet

https://www.mdpi.com/2227-9032/12/2/249

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