Method and system for extracting morbidity key factor and early warning disease

A technology for key factors and diseases, applied in the field of key factors extraction and disease early warning methods and systems, which can solve problems such as reduced early warning effect, noise in medical record data, and incomplete data.

Inactive Publication Date: 2013-04-03
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. The medical information systems involved in the prior art are all electronic medical record information management, and do not involve the extraction of high-risk factors for diseases and the fields of early warning of diseases;
[0006]

Method used

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  • Method and system for extracting morbidity key factor and early warning disease
  • Method and system for extracting morbidity key factor and early warning disease
  • Method and system for extracting morbidity key factor and early warning disease

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Embodiment 1

[0055] Such as figure 1 As shown, Embodiment 1 of the present invention provides a method for extracting key factors of pathogenesis and early warning of diseases, the method comprising the following steps:

[0056] Step S1: Numericalization of medical records.

[0057] This step mainly performs data preprocessing, converting the medical record data into a training numerical matrix. Specifically, the digitalization of medical records mainly divides medical records into a series of keywords through word segmentation and matching, and divides the divided keywords into two types: characteristic variables and variable values ​​through pre-set matching rules. The medical record file data includes electronic medical records, medical record files, or biochemical examination data, which record the patient's health or disease records.

[0058] The word segmentation method can use string matching word segmentation method, word meaning word segmentation method or statistical word segment...

Embodiment 2

[0091] Such as figure 2 As shown, Embodiment 2 of the present invention provides a system for extracting key factors of morbidity and disease early warning, which includes a data preprocessing module 1, an early warning model module 2, a patient medical record data module 3 and a result display module 4, wherein the data preprocessing Module 1 is used for data preprocessing, converting the medical record data into a training numerical matrix, and inputting it into the early warning model module 2; the early warning model module 2 is used to receive the training data input by the data preprocessing module 1, establish a disease early warning model, and pass the verification Find the optimal early warning model; the patient medical record data module 3 is used to input the specific patient's medical record data to the early warning model module 2, and the early warning model module 2 can individually extract the high risk factors of the patient's disease and perform disease risk...

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Abstract

The invention relates to the technical field of a medical treatment information decision-making system and provides a method for extracting a morbidity key factor and early warning a disease. The method comprises the following steps: pre-treating a data: converting a medical record file data into a training value matrix; establishing a disease early warning model; and searching for an optimal early warning model through verification. The invention also provides a system for extracting the morbidity key factor and early warning the disease. Through the method and the system for extracting the morbidity key factor and early warning the disease provided by the invention, a high-risk factor of the disease is extracted, the early warning of disease mutation is performed, the realization is simple and the effect is good.

Description

technical field [0001] The invention relates to the technical field of medical information decision-making systems, in particular to a method and system for extracting key factors of disease and early warning of diseases. Background technique [0002] With the rapid development of data mining technology, people have been able to extract useful data from a large amount of data for processing, and get the close relationship between previously considered irrelevant information, or predict what may happen in the future based on existing experience. According to research results in related fields of medicine, many major diseases and even chronic diseases with serious consequences will have some symptoms more or less before the disease. However, many people will ignore less serious diseases such as body temperature changes and waist pain, which prevents doctors and researchers from grasping complete information and data to conduct preventive research on major diseases. [0003] T...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 蔡云鹏樊小毛李烨郑卓远杨玉洁
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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