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Symptom-level correlation and prediction method for diagnosis and treatment data

A symptom-level technology, applied in the field of symptom-level correlation and prediction for diagnosis and treatment data, can solve problems such as the lack of a unified and integrated framework, and achieve good results in prediction, diagnosis and treatment

Active Publication Date: 2020-06-16
詹宇
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Problems solved by technology

Existing mining methods for unstructured data in medical records lack a unified and integrated framework

Method used

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  • Symptom-level correlation and prediction method for diagnosis and treatment data
  • Symptom-level correlation and prediction method for diagnosis and treatment data
  • Symptom-level correlation and prediction method for diagnosis and treatment data

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0019] figure 1 It is a flow chart of the steps of symptom hierarchy correlation and prediction method in the present invention, such as figure 1 As shown, the present invention proposes a kind of symptom hierarchy correlation and prediction method, and this method comprises the following steps:

[0020] Step S1, constructing a diagnosis and treatment information space according to the patient's diagnosis and treatment records;

[0021] Step S2, based on the diagnosis and treatment information space in step S1, use the hierarchical topic model to obtain the symptom topic hierarchical space, and obtain the hierarchical information of symptoms and diagnosis and treatment words in the hierarchical topic space;

[0022] Ste...

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Abstract

The invention relates to unstructured diagnosis and treatment information data mining, and discloses a symptom hierarchy association and prediction method facing diagnosis and treatment data. The symptom hierarchy association and prediction method comprises steps that a symptom theme hierarchy space is established based on a hierarchy theme model, and by adopting a maximum probability criterion, hierarchical mapping of diagnosis and treatment records and patients is realized, and in addition, by comprehensively considering various attribute information such as the diagnosis and treatment locations, the ages, the genders, and the time of the patients, dynamic disease prediction is realized. An integrated unified frame used for mining the diagnosis and treatment information automatically from three hierarchies, namely, the diseases, the diagnosis and treatment records, and the patients, and therefore the patients and doctors can have the enhanced deep understanding and the vivid acquaintance of the symptoms of the different phases, the influential factors, and the diagnosis and treatment methods of the diseases, and the association, the dynamic development, and the evolution of the diseases, and therefore the management, the tracking, and the prediction of the diseases, the diagnosis and treatment records, and the patients are facilitated, and the better information service such as the early prevention, the prediction, and the diagnosis and treatment is provided for the patients.

Description

technical field [0001] The invention relates to data mining of unstructured diagnosis and treatment information, and discloses a symptom hierarchical correlation and prediction method for diagnosis and treatment data. Background technique [0002] With the development of medical informatization, hospitals establish diagnosis and treatment medical records for patients, and record the patient's diagnosis and treatment information in detail, so as to facilitate the tracking and management of patient diagnosis and treatment information. Data mining, dig out the relationship between diseases and symptoms, obtain the relationship between diagnosis and treatment records and patients, so as to scientifically realize the management, tracking and prediction of diagnosis and treatment records, patients, and provide better information services for patients. Emerging research topics in the field of data analysis have important theoretical and application value. [0003] Diagnosis and tr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/70
Inventor 詹宇
Owner 詹宇
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