Intelligent grouping method and device for similar patients, equipment and storage medium

Abstract

The invention relates to the field of big data, and discloses an intelligent grouping method and device for similar patients, equipment and a storage medium. The similar patient intelligent grouping method comprises the following steps: acquiring new patient data to be matched, wherein the new patient data comprises multiple disease characteristic data; performing vectorization processing on the disease characteristic data to obtain a disease characteristic word vector corresponding to the new patient; calculating a Mahalanobis distance between the new patient data and each historical patientdata in a preset disease characteristic database; sorting the Mahalanobis distances to obtain a sorting result; determining disease information groups correspondingly matched with the new patient data, wherein the disease information groups include different clinical outcome information. The method is used for utilizing the data information of historical patients to the maximum extent, quickly judging the disease information group to which a new patient belongs according to the Mahalanobis distance, and assisting a doctor to make a decision according to the characteristics of the correspondingdisease information group, so that the accuracy of medical decision making of the doctor is improved.

Description

technical field [0001] The invention relates to the field of big data and is applied in the field of smart medical care, in particular to a method, device, equipment and storage medium for intelligent grouping of similar patients. Background technique [0002] With the development of technology, artificial intelligence is becoming more and more common. In the medical field, when doctors make medical decision-making scenarios, they usually combine the disease characteristics and treatment process of patients who have been treated in the past with the actual conditions of patients who are currently receiving treatment. circumstances to make more appropriate medical decisions. However, when doctors make medical decisions for new patients, they do not fully utilize the data of existing patients. [0003] In the existing technology, medical decisions are made for new patients based on the data of samples (historical patients), mostly with the help of continuous data, such as tes...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the technical problem of how to intelligently group similar patients

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