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A Survival Prediction Method and System Based on Multi-granularity Graph Pattern Mining

A technology of survival prediction and graph mode, which is applied in the fields of medical data mining, medical informatics, health index calculation, etc., can solve problems such as expansion is not simple, and achieve the effect of reducing time complexity

Active Publication Date: 2020-05-05
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these extensions are not simple

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  • A Survival Prediction Method and System Based on Multi-granularity Graph Pattern Mining
  • A Survival Prediction Method and System Based on Multi-granularity Graph Pattern Mining
  • A Survival Prediction Method and System Based on Multi-granularity Graph Pattern Mining

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Embodiment 1

[0057] According to an aspect of one or more embodiments of the present disclosure, a survival prediction method based on multi-granularity graph pattern mining is provided.

[0058] Step S1: Receive the medical treatment history data of the insured person, and statistically construct the statistical characteristics of the insured person;

[0059] Step S2: For each insured person, construct a heterogeneous information network according to his medical history data;

[0060] Step S3: using a multi-grain graph pattern mining algorithm to mine medical treatment patterns from heterogeneous information networks as pattern features;

[0061] Step S4: using the Cox survival prediction model to evaluate the partial regression coefficients of the statistical features and the pattern features respectively, and calculate the risk of each feature based on the proportional hazards assumption as an enhanced feature;

[0062] Step S5: Combine the statistical features, pattern features and en...

Embodiment 2

[0127] According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.

[0128] A computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor of a terminal device and executing the survival prediction method based on multi-granularity graph pattern mining.

Embodiment 3

[0130] According to an aspect of one or more embodiments of the present disclosure, a terminal device is provided.

[0131] A terminal device, which includes a processor and a computer-readable storage medium, the processor is used to implement instructions; the computer-readable storage medium is used to store multiple instructions, and the instructions are suitable for being loaded by the processor and executing the described one A Survival Prediction Method Based on Multi-Granularity Graph Pattern Mining.

[0132] These computer-executable instructions, when executed in a device, cause the device to perform the methods or processes described in accordance with various embodiments in the present disclosure.

[0133] Among them, the computer program product may include a computer-readable storage medium loaded with computer-readable program instructions for executing various aspects of the present disclosure. A computer readable storage medium may be a tangible device that c...

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Abstract

The invention discloses a survival prediction method and system based on multi-granularity graph mode mining, and the method comprises the steps: receiving the medical history data of insured persons,and carrying out the statistical construction of the statistical features of the insured persons; for each insured person, constructing a heterogeneous information network according to the medical history data of the insured person; mining a medical mode from the heterogeneous information network by adopting a multi-granularity graph mode mining algorithm to serve as a mode feature; evaluating partial regression coefficients of the statistical characteristics and the mode characteristics through a Cox survival prediction model, and calculating the risk of each characteristic based on proportional risk hypothesis to serve as an enhanced characteristic; combining the statistical characteristics, the mode characteristics and the enhanced characteristics as a complete characteristic set, andperforming survival prediction by adding a random forest scoring function for evaluating the deletion data prediction condition.

Description

technical field [0001] The disclosure belongs to the technical field of electronic health data processing, and relates to a survival prediction method and system based on multi-granularity graph pattern mining. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Survival prediction research is to predict how long an event of interest (also called a "failure event") will occur from a certain point in time based on follow-up information. In general, the main research goals of survival prediction include exploring the role of prognostic factors and predicting how new patients will behave. Therefore, it will help doctors answer practical questions such as how much a certain medical treatment will benefit patients, and the estimated survival period of patients after treatment. The event of interest for survival prediction is not limited to "deat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70
Inventor 史玉良任永健郑永清张坤陈志勇
Owner SHANDONG UNIV
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