The invention discloses an intelligent
physical examination data quality control
analysis method and
system, and relates to the technical field of
medical quality control. The problems that existing
physical examination data are diversified in source, complex in format, single in
quality control means and the like are solved. Structured data, medical images and texts are integrated, and standardized
processing and
data mapping are achieved through a unified platform. Static and dynamic rule libraries are constructed, and the threshold is dynamically adjusted in combination with individual features, so that personalized
risk assessment is realized. Structured data
anomaly detection is performed by adopting
machine learning, an
image quality problem is identified by utilizing a
convolutional neural network, and text anomaly is processed and analyzed through a
natural language, so that the
anomaly detection accuracy is improved. The
system realizes multi-dimensional
quality control and intelligent early warning, enhances the integrity and credibility of
physical examination data, supports precise health management and
disease early warning, improves the
quality control efficiency, meets the intelligent analysis requirements of large-scale multi-
modal physical examination data, and promotes the application of intelligent health management.