Fracture risk prediction model based on big data multilevel feature mining

Fracture risk prediction model based on big data multilevel feature mining

The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: SEO AH-JUNG, LIU MENGHAN, REN JIWU, GAO XIAOFENG, WEI XIN, MA ZICHENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Beschreibung
Zusammenfassung:The invention provides a fracture risk prediction model based on big data multilevel feature mining. The fracture risk prediction model is characterized in that the fracture risk prediction model is a mixed model of XGBoost and SVM. The fracture risk can be predicted based on the model. 本发明提供了一种基于大数据多层次特征挖掘的骨折风险预测模型，其特征在于:所述骨折风险预测模型为XGBoost和SVM的混合模型。基于该模型能够预测骨折风险。