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Medical big data based disease automatic assistance diagnosis system and method

An auxiliary diagnosis and automatic diagnosis technology, applied in the field of medical information computing and data processing, can solve the problems of low efficiency and long time consuming for doctors to diagnose diseases, and achieve the effect of strong maneuverability, alleviating limited medical resources, and alleviating the contradiction between doctors and patients.

Inactive Publication Date: 2016-06-08
ZUNYI MEDICAL UNIVERSITY
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an automatic auxiliary disease diagnosis system and method based on medical big data that can quickly and automatically diagnose diseases in view of the time-consuming and low-efficiency defects of doctors diagnosing diseases in the prior art

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  • Medical big data based disease automatic assistance diagnosis system and method
  • Medical big data based disease automatic assistance diagnosis system and method
  • Medical big data based disease automatic assistance diagnosis system and method

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] Such as figure 1 As shown, the disease automatic auxiliary diagnosis system based on medical big data in the embodiment of the present invention includes:

[0043] The background data storage unit stores a large amount of existing case data;

[0044] The information processing unit specifically includes a statistical classification module, a confirmed symptom set acquisition module and an automatic disease diagnosis module, wherein:

[0045] The statistical classification module is used to obtain the case data in the background data storage unit, and perform statistical classification on t...

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Abstract

The present invention discloses a medical big data based disease automatic assistance diagnosis system and method. The system comprises: a background data storage unit; an information processing unit, which specifically comprises: a statistical classification module, used for acquiring case data in the background data storage unit, and performing statistical classification on the case data, so as to obtain a symptom set and a definitively diagnosed disease type set; a diagnosed disease set calculation module, used for calculating a definitively diagnosed symptom set of various diseases according to the symptom set and the disease type set that are obtained by the statistical classification module; and a disease automatic diagnosis module, used for acquiring disease symptom data provided by a user, generating a selection symptom set, comparing the selection symptom set with the definitively diagnosed symptom set of various diseases and performing calculation, so as to obtain a disease determination result; and a man-machine interaction unit, used for displaying an interface of selecting a disease by the user, and outputting a disease diagnosis result. The method disclosed by the present invention is simple, easy and strong in operatability, and provides a new clinic assistant diagnosis tool for the medical field, and reduces an error / miss diagnosis rate.

Description

technical field [0001] The present invention relates to the field of medical information calculation and data processing, in particular to an automatic auxiliary disease diagnosis system and method based on medical big data. Background technique [0002] There are great differences among patients, there are many types of medical diseases, and complex diseases are common and complex. Diagnosis requires the coordination of multiple doctors and departments. It is difficult to standardize and automate the diagnosis, which makes the original tight medical resources even more stretched; and the medical process lacks patients. The active participation of doctors, coupled with the high work intensity of doctors, there are many misdiagnoses and missed diagnoses, resulting in a tense relationship between doctors and patients. Although many online hospitals such as 39Health.com can relieve part of the pressure, due to the lack of detailed diagnostic data, the diagnostic conclusions giv...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16H50/20G16H50/70
Inventor 罗旭杨君常永虎何欢
Owner ZUNYI MEDICAL UNIVERSITY
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