Model for analyzing correlation between type 2 diabetes mellitus combined cancer and conventional test indexes

A type 2 diabetes and correlation analysis technology, applied in the field of medical laboratory index data analysis, can solve the problems of limited hypoglycemic drugs, unclear pathogenesis, and increased incidence of malignant tumors, and achieve the effect of early detection

Pending Publication Date: 2022-07-08
THE PEOPLES HOSPITAL SHAANXI PROV
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Problems solved by technology

At present, the exact pathogenesis of the increased incidence of malignancies caused by diabetes is not clear, and the research on the relationship between hypoglycemic drugs and cancer risk is also very limited

Method used

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  • Model for analyzing correlation between type 2 diabetes mellitus combined cancer and conventional test indexes
  • Model for analyzing correlation between type 2 diabetes mellitus combined cancer and conventional test indexes
  • Model for analyzing correlation between type 2 diabetes mellitus combined cancer and conventional test indexes

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Embodiment Construction

[0023] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] A correlation analysis model of type 2 diabetes combined with cancer and routine test indicators, the creation method of which comprises the following steps:

[0025] Step 1. Screen the cases diagnosed with diabetes, obtain the diagnosis of type 2 diabetes with cancer, exclude the observation cases of heart disease, kidney disease, hypertension, arteriosclerosis, hyperlipidemia, and diagnose type 2 diabetes, exclude cancer, heart disease, kidney disease , control cases of hypertension, arterio...

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Abstract

The invention relates to the technical field of medical test index data analysis, in particular to a type 2 diabetes mellitus combined cancer and conventional test index correlation analysis model, which is created by the following steps: step 1, screening cases for definite diagnosis of diabetes mellitus to obtain experimental data of an observation group and a control group; step 2, data cleaning: extracting test item data variables to obtain effective variables; for classification variables in the variables, filling missing values by using composition comparison of the classification variables; step 3, main feature exploration: firstly, exploring and extracting feature importance of each of variables in data by using a minimum description length algorithm, and finding out the most important features between an observation group and a control group; 4, establishing a machine learning model; and 5, performing model evaluation. Through comprehensive application of multiple machine learning methods based on supervised learning, knowledge and rules hidden in large sample real data can be effectively mined.

Description

technical field [0001] The invention relates to the technical field of medical test index data analysis, in particular to a correlation analysis model of type 2 diabetes combined with cancer and routine test indexes. Background technique [0002] Research data show that the incidence of tumors in diabetic patients can be as high as 28.35%, which is much higher than the highest incidence rate of 1.16% in all age groups of the general population. Currently, the exact pathogenesis of the increased incidence of malignancies caused by diabetes is unclear, and studies on the relationship between glucose-lowering drugs and cancer risk are limited. Therefore, to explore whether type 2 diabetes is an independent risk factor for cancer, quantitatively assess the relationship between diabetes, hypoglycemic drug use and the risk of cancer and 21 common cancers such as lung cancer, liver cancer, and colorectal cancer. Provide clinical and policy recommendations for disease prevention an...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/50G16H50/70G06K9/62G06N20/00G16H50/30
CPCG16H50/20G16H50/30G16H50/70G16H50/50G06N20/00G06F18/241
Inventor 邱宾朱火兰张恩科马富春
Owner THE PEOPLES HOSPITAL SHAANXI PROV
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