Legal medical expert injury identification management method and system

Abstract

The invention discloses a legal medical expert injury identification management method.The method includes the steps that preprocessed sample data is subjected to data classified training through a machine learning method, and an identification classification model is established; selection feature words of the sample data to be identified are acquired, the acquired selection feature words are matched with selection feature words in the identification classification model, and a matching result is obtained; the artificial identification result of the sample data to be identified is compared with the matching result, and if the results are consistent, it is confirmed that injury identification is correct, and the identification result is submitted.The injury of a litigant is identified and re-checked through combination of legal medical expert artificial identification and intelligent injury identification based on a supervised machine learning classification model, correct hearing and judgment of a case are guaranteed through scientific identification, the working efficiency of criminal investigators, especially legal medical experts and the accuracy of the identification result are improved, the mistaken identification rate of injury identification is reduced, and the justice of the law is maintained.

Description

technical field [0001] The present invention relates to the technical field of public security systems, in particular to a forensic injury identification management method and system. Background technique [0002] Forensic injury identification is an important part of the work of the public security technical department, and the injury identification report is an important basis for the trial and sentencing of cases. Therefore, making accurate injury judgments is of great significance for maintaining legal justice. [0003] The current injury identification process is mainly carried out manually by forensic doctors from the technical department of the public security department. Therefore, in the process of injury identification, it is inevitable that human factors will cause mistakes, resulting in inaccurate injury identification results, which will bring serious consequences for the trial and sentencing of the case. to uncertain factors. At the same time, the public se...

AI Technical Summary

Problems solved by technology

[0003] The current injury identification process is mainly carried out manually by forensic doctors from the technical department of the public security department. Therefore, in the process of injury identification, it is inevitable that human factors will cause mistakes, resulting in inaccurate injury identification results, which will bring serious consequences for the trial and sentencing of the case. to uncertain factors

At the same time, the public security bureau’s review method for the forensic medical injury appraisal of the subordinate cities is also manually carried out, and the demerits of the forensic medical injury appraisal are reviewed by manual selection and screening. However, this review method not only causes the auditors to The workload is heavy, the work efficiency is low, and there is still the problem of incomplete sampling, which eventually leads to inaccurate audit results and further brings uncertainties to the trial and sentencing of the case.

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