An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit

An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit

Risk stratification at the time of hospital admission is of paramount significance in triaging the patients and providing timely care. In the present study, we aim at predicting multiple clinical outcomes using the data recorded during admission to a cardiac care unit via an optimized machine learni...

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Bibliographic Details
Main Authors: Sandeep Chandra Bollepalli, Ashish Kumar Sahani, Naved Aslam, Bishav Mohan, Kanchan Kulkarni, Abhishek Goyal, Bhupinder Singh, Gurbhej Singh, Ankit Mittal, Rohit Tandon, Shibba Takkar Chhabra, Gurpreet S. Wander, Antonis A. Armoundas
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Diagnostics
Subjects:
machine learning
mortality
duration of stay
heart failure
STEMI
pulmonary embolism
Online Access:https://www.mdpi.com/2075-4418/12/2/241

Internet

https://www.mdpi.com/2075-4418/12/2/241

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