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Disease risk prediction method and system based on multi-modal fusion

A disease risk and prediction method technology, applied in the field of medical big data information processing, can solve problems such as missing data, record data integrity, accuracy and granularity cannot form a systematic system, irregularities, etc., and achieve the effect of increasing enthusiasm

Active Publication Date: 2021-08-10
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0006] The problem of unbalanced number and distribution of data sets: data collection without purpose often results in the completeness, accuracy and granularity of recorded data, which cannot form a systematic system, resulting in missing and irregular data

Method used

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  • Disease risk prediction method and system based on multi-modal fusion
  • Disease risk prediction method and system based on multi-modal fusion
  • Disease risk prediction method and system based on multi-modal fusion

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Embodiment Construction

[0073] The present application will be further elaborated below in conjunction with specific embodiments. It should be understood that these examples are only used to illustrate the present application and are not intended to limit the scope of the present application. For the experimental methods without specific conditions indicated in the following examples, usually follow the conventional conditions or the conditions suggested by the manufacturer.

[0074] The term "and / or" in this article is just a relationship describing the relationship between related objects, which means that there can be three relationships, for example, A and / or B, which can mean: A exists alone, B exists alone, and A and B exist at the same time Three situations, the term " / and" in this article is to describe another associated object relationship, which means that there can be two relationships, for example, A / and B, which can mean: there is A alone, and there are two situations of A and B alone,...

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Abstract

The invention provides a disease risk prediction method and system based on multi-modal fusion; the method comprises the steps: obtaining the EHR data of a to-be-predicted patient, and the data comprise structured data and unstructured data; inputting the EHR data into a disease risk prediction model to obtain a disease risk prediction result; outputting a disease risk prediction result; wherein the disease risk prediction model execution step comprises the following steps: identifying EHR data as structured data and unstructured data; performing data cleaning on the structured data and the unstructured data; extracting structured data features and unstructured data features; extracting a fusion feature, wherein the fusion feature is a fusion feature of an unstructured data feature and a structured data feature; and performing disease risk prediction on the fusion features. The system can effectively help doctors to provide effective reference information, pre-judge the development condition of the illness state of the patient, help treatment in time, and increase the enthusiasm of the patient to cooperate with treatment at the same time.

Description

technical field [0001] This application relates to the field of medical big data information processing, in particular to a method and system for predicting disease risk based on multimodal fusion. Background technique [0002] The information disclosed in this background section is only intended to increase the understanding of the general background of the application, and is not necessarily regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. [0003] Electronic health records (EHR) create a large amount of cheap data for health research, including electronic medical records, past medical history information, text records of patient medical records, and other data. Digitization and subsequent analysis of medical records constitutes a field of digital transformation aimed at collecting multiple medical information about patients in the form of EHRs, including digital measurements (...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H50/20G16H50/70G06F16/35
CPCG16H10/60G16H50/20G16H50/70G06F16/35Y02A90/10G16H50/30
Inventor 李玉军胡喜风刘治胡伟风
Owner SHANDONG UNIV
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