Imaging Examination and Quantitative Detection and Analysis of Gastrointestinal Diseases Based on Data Mining Technology

• Published in: Journal of medical systems Vol. 44; no. 1; pp. 31 - 15
• Main Authors: Li, Tao, Long, Liling
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2020; Springer Nature B.V
• Subjects: Accuracy; Adolescent; Adult; Aged; Aged, 80 and over; Data mining; Data Mining - methods; Diagnosis, Computer-Assisted - methods; Diagnostic Errors - prevention & control; Digestive system diseases; Distributed Analytics and Deep Learning in Health Care; Female; Gastrointestinal diseases; Gastrointestinal Diseases - diagnosis; Gastrointestinal Diseases - diagnostic imaging; Gastrointestinal Diseases - pathology; Health Informatics; Health risks; Health Sciences; Humans; Image & Signal Processing; Image Processing, Computer-Assisted - methods; Interatrial Block; Male; Medical equipment; Medical research; Medicine; Medicine & Public Health; Middle Aged; Neural Networks, Computer; Statistics for Life Sciences; Time Factors; Young Adult; Data mining technology; Gastrointestinal diseases; Quantitative detection and analysis; Imaging examination

The medical image storage and transmission system completes the collection, storage, management, diagnosis and information processing of digital medical image information generated from digital medical devices, accumulates a large amount of data resources, and uses these valuable data resources to e...