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Medical record analysis method and device and computer readable storage medium

An analysis method and medical record technology, applied in the field of intelligent medical care, can solve the problems of low reasoning accuracy, time-consuming and labor-consuming, low recall rate, etc., and achieve the effect of improving diagnostic accuracy and effectiveness

Pending Publication Date: 2022-04-12
讯飞医疗科技股份有限公司
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AI Technical Summary

Problems solved by technology

This type of method is highly dependent on the rules and conditions formed, and often requires manual inspection after machine extraction, which is time-consuming and labor-intensive, and the recall rate is low. Sequence learning is performed through a large amount of labeled data, and simple learning of shallow medical records Semantic information for diagnostic reasoning
This kind of method still has the problem of not capturing the characteristics of the key information in the patient's medical record in place and the accuracy of reasoning is low

Method used

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  • Medical record analysis method and device and computer readable storage medium
  • Medical record analysis method and device and computer readable storage medium
  • Medical record analysis method and device and computer readable storage medium

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Embodiment Construction

[0027] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0028] At present, a large number of automatic diagnosis research results based on the narrative documents of massive electronic medical records are available for clinical use. Among them, the likelihood ratio is a statistical index often used in epidemiology, and it is also an important index for evaluating diagnostic tests in evidence-based medicine. It is an index that reflects the authenticity, and it is a composite index that reflects both sensitivity and specificity. It is the ratio of the probability of obtaining a screening test result among persons with the disease to the probability of obtaining it among persons without the disease.

[0029] Because clinical manifestations can be divided into positive and negative, the likelihood ...

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Abstract

The invention discloses a medical record analysis method and device and a computer readable storage medium. The medical record analysis method comprises the steps that the initial likelihood ratio of clinical manifestations relative to disease types is obtained; acquiring an authoritative likelihood ratio of the clinical manifestation relative to the disease type; determining a final likelihood ratio of the clinical manifestation relative to the disease type in combination with the initial likelihood ratio and the authoritative likelihood ratio; acquiring medical record information of a to-be-diagnosed disease; and obtaining the correlation between the clinical manifestation and the to-be-diagnosed disease by using the final likelihood ratio and the medical record information, and obtaining an analysis result of the to-be-diagnosed disease. In this way, the accuracy of the medical record analysis result can be improved.

Description

technical field [0001] The present invention relates to the field of intelligent medical technology, in particular to a medical record analysis method, equipment and computer-readable storage medium. Background technique [0002] In recent years, due to the support of my country's "Guiding Opinions on Promoting and Regulating the Development of Health and Medical Big Data Applications" and other related policies of medical and health big data and the popularization of artificial intelligence technology in the medical field, artificial intelligence-assisted diagnosis and treatment has become an important part of the auxiliary decision-making system. An important part, helping many medical institutions and hundreds of millions of doctors improve the efficiency of clinical operations and reduce the suffering of patients. [0003] In the prior art, based on logical and statistical methods, the knowledge in the medical guideline is extracted, the rule diagnosis conditions are auto...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F40/295G06K9/62G06N3/04G06N3/08G16H10/60
Inventor 高丽蓉胡加学陈雨晴朱云霞赵景鹤贺志阳鹿晓亮
Owner 讯飞医疗科技股份有限公司