Clinical diagnosis and treatment output method and device

Abstract

The invention provides a clinical diagnosis and treatment output method and a device. The method comprises the steps of acquiring disease characteristic information of a target patient, performing disease matching in a disease identifying knowledge database, and obtaining a disease first diagnosis list; generating a disease examination plan which matches the disease first diagnosis list accordingto the disease identifying knowledge database; acquiring actual disease characteristic information of the target patient, and detecting whether a to-be-matched disease characteristic exists, performing disease matching on the disease first diagnosis list according to a detecting result and actual disease characteristic information, and obtaining a target definite diagnosed disease; acquiring a target treatment plan which corresponds with the target definite diagnosed disease in the disease treatment knowledge database, and outputting a clinical diagnosis and treatment result which comprises the target definite diagnosed disease and the target treatment plan. The method can improve a correspondence association relation between the disease characteristic and the diagnosis and treatment result and performs high-accuracy clinical disease diagnosis and treatment based on the correspondence association relation, thereby improving clinical diagnosis and treatment efficiency of a clinical doctor.

Description

technical field [0001] The present application relates to the technical field of medical data processing, in particular, to a clinical diagnosis and treatment output method and device. Background technique [0002] With the continuous development of science and technology, the application fields of data processing technology are becoming more and more extensive, among which the medical field is an extremely important application field of data processing technology. Medical data processing technology can assist clinicians to perform clinical diagnosis and treatment operations such as initial diagnosis of disease, diagnosis of disease, and issuance of treatment plan when clinicians diagnose and treat patients. [0003] At present, the actual application of medical data processing technology mainly uses machine learning technology to analyze a large amount of medical data, and obtain the relevant performance characteristics of corresponding diseases from the results of diagnosi...

AI Technical Summary

Problems solved by technology

However, due to machine learning technology, this medical data processing technology has a causal reversal between the diagnosis and treatment results and disease characteristics, and even has no causal relationship, so that when this medical data processing technology is applied to the process of diagnosis and treatment of clinical diseases The accuracy of diagnosis and treatment is not high

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