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

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...

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Bibliographic Details
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
ISSN:0148-5598, 1573-689X, 1573-689X
Online Access:Get full text
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Summary: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 extract corresponding diseases. Diagnostic rules that help improve the accuracy of clinical disease diagnosis have always been the subject of medical research and management. Gastrointestinal diseases are common high-risk digestive diseases. This paper studies the imaging detection and quantitative detection and analysis of gastrointestinal diseases based on data mining, aiming to improve the accuracy of doctors’ clinical diagnosis, reduce the misdiagnosis and misdiagnosis of patients’ diseases, and reduce the burden on patients. With the high computing speed and computational accuracy of the computer, combined with the flexible analysis and judgment ability of the human body, the doctor can help the semi-structured and unstructured diagnosis problems. Experiments demonstrate the effectiveness and robustness of the proposed method.
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ISSN:0148-5598
1573-689X
1573-689X
DOI:10.1007/s10916-019-1482-3