Children intussusception diagnosis intelligent analysis system based on multi-modal fusion

Children intussusception diagnosis intelligent analysis system based on multi-modal fusion

The invention discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extra...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: LI ZHEMING, SONG CHUNZE, HUANG JIAN, SHEN CHEN, LI JING, CHEN XING, HUANG SHOUJIANG, DUAN MENGYU, YU GANG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
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 discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extraction model and a feature fusion model. The children intussusception relation extraction model is used for constructing a children intussusception knowledge graph; the text feature extraction model is used for extracting text features in the original diagnosis medical record and the ultrasonic diagnosis report; the ultrasonic image quality control model is used for extracting image features in the child intussusception ultrasonic image; the structured data feature extraction model is used for extracting structured data features in the child intussusception laboratory data; the feature fusion model is used for fusing text features, image features and structured data features, and after high-dimensional features are