Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data

Prediction of Complications and Surgery Duration in Primary Total Hip Arthroplasty Using Machine Learning: The Necessity of Modified Algorithms and Specific Data

Background: Machine Learning (ML) in arthroplasty is becoming more popular, as it is perfectly suited for prediction models. However, results have been heterogeneous so far. We hypothesize that an accurate ML model for outcome prediction in THA must be able to compute arthroplasty-specific data. In...

Full description

Bibliographic Details
Main Authors: Igor Lazic, Florian Hinterwimmer, Severin Langer, Florian Pohlig, Christian Suren, Fritz Seidl, Daniel Rückert, Rainer Burgkart, Rüdiger von Eisenhart-Rothe
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Journal of Clinical Medicine
Subjects:
artificial intelligence
machine learning
hip surgery
total hip arthroplasty
supervised learning
Online Access:https://www.mdpi.com/2077-0383/11/8/2147

Internet

https://www.mdpi.com/2077-0383/11/8/2147

Similar Items