Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods

Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods

Background Machine learning (ML), a subset of artificial intelligence (AI), uses algorithms to analyze data and predict outcomes without extensive human intervention. In healthcare, ML is gaining attention for enhancing patient outcomes. This study focuses on predicting additional hospital days (AHD...

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Bibliographic Details
Main Authors: Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Computer Assisted Surgery
Subjects:
Machine learning
cervical spondylosis
cervical spine surgery
additional hospital days
Online Access:https://www.tandfonline.com/doi/10.1080/24699322.2024.2345066
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https://www.tandfonline.com/doi/10.1080/24699322.2024.2345066

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