Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP.

Journal: Archives of gerontology and geriatrics

PMID: 39571498

Abstract

BACKGROUND: Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older population. The prognosis for older patients who experience AIS subsequent to hip fracture is frequently unfavorable.

Authors

Mingming Fu

Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
Yan Liu

Department of Clinical Microbiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, People's Republic of China.
Zhiyong Hou

Department of Orthopedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, 050051, PR China; NHC Key Laboratory of Intelligent Orthopedic Equipment (Hebei Medical University Third Hospital), PR China. Electronic address: drzyhou@hebmu.edu.cn.
Zhiqian Wang

Department of Geriatric Orthopedics, Hebei Medical University Third Hospital, Shijiazhuang, Hebei, PR China. Electronic address: 37800709@hebmu.edu.cn.

Keywords

Aged Aged, 80 and over Female Hip Fractures Humans Ischemic Stroke Machine Learning Male Nomograms Prognosis Propensity Score Risk Factors Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (39571498)

Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP.

Abstract

Authors

Keywords

External Resources

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