An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China.

Journal: Frontiers in cellular and infection microbiology

PMID: 40160472

Abstract

PURPOSE: This study aimed to develop and validate a novel web-based calculator using machine learning algorithms to predict fragility fracture risk in People living with HIV (PLWH), who face increased morbidity and mortality from such fractures.

Authors

Bo Liu

Wuhan United Imaging Healthcare Surgical Technology Co., Ltd., Wuhan, China.
Qiang Zhang

Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
Xin Li

Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.

Keywords

Adult Aged Algorithms China Female Fractures, Bone HIV Infections Humans Internet Machine Learning Male Middle Aged Retrospective Studies Risk Assessment Risk Factors ROC Curve

External Resources

View on PubMed Access via DOI PubMed (40160472)

An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China.

Abstract

Authors

Keywords

External Resources

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