Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning

Volume: 29, Issue: 22, Pages: 977 - 983
Published: Dec 10, 2020
Abstract
Objectives: Accurately stratifying patients in the preoperative period according to mortality risk informs treatment considerations and guides adjustments to bundled reimbursements. We developed and compared three machine learning models to determine which best predicts 30-day mortality after hip fracture. Methods: The 2016 to 2017 National Surgical Quality Improvement Program for hip fracture (AO/OTA 31-A-B-C) procedure-targeted data were...
Paper Details
Title
Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning
Published Date
Dec 10, 2020
Volume
29
Issue
22
Pages
977 - 983
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