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Forensic identification report examination method and system

A technology for forensic identification and review systems, applied in medical reports, healthcare informatics, special data processing applications, etc. The effect of improving review efficiency and improving accuracy

Inactive Publication Date: 2019-09-27
河南开合软件技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Legal literacy, supervision and management and many other reasons lead to certain flaws and errors in the conclusions of social appraisal institutions, such as incomplete appraisal items, weak correlation between appraisal and cases, etc. At the same time, the forensic appraisal report has the following characteristics: It is a sentence pattern feature, with many similar contents and a long length, resulting in a low accuracy rate of semantic analysis; therefore, a review method and system is needed to conduct precise semantic analysis, review errors in reports, and complete high-accuracy report identification

Method used

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  • Forensic identification report examination method and system

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Experimental program
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Embodiment 1

[0050] There are certain flaws and errors in the conclusions of existing social appraisal institutions, such as incomplete appraisal matters, and weak relevance between appraisal and cases. At the same time, forensic appraisal reports have the following characteristics: the terms in the content are syntactic features and similar content Too much and lengthy length leads to low accuracy of semantic analysis; therefore, this application proposes a review method and system, precise semantic analysis, review errors in the report, and complete high-accuracy report identification. The details are as follows:

[0051] Such as figure 1 As shown, a method for reviewing forensic appraisal reports is characterized in that it includes the following steps:

[0052] Step 1: Use NLP to extract the multi-dimensional features of the case information stored in the database, and fit the multi-dimensional features to obtain the feature model;

[0053] Step 2: After entering the report to be reviewed, se...

Embodiment 2

[0070] Based on the method of Embodiment 1, this embodiment provides a corresponding system, and the details are as follows:

[0071] Such as figure 2 As shown, a review system for forensic identification reports includes

[0072] Database for storing case forensic identification reports, feature models and knowledge graphs;

[0073] The model building unit is used to extract the multi-dimensional features corresponding to the case forensic identification report in the database by using NLP, and use the HMM model based on word frequency distribution and synonym analysis to perform multi-dimensional feature segmentation and fitting to construct a feature model;

[0074] Interactive unit, used to input the pending review report and select review task options, and display the forensic appraisal review report;

[0075] The review unit is used to call the feature model for format review and damage site review after data processing of the pending review report.

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Abstract

The invention discloses a forensic identification report examination method and system, and relates to the field of semantic extraction and analysis. The method comprises the steps of: 1, after multidimensional features of a case forensic identification report in a database are extracted through NLP, using an HMM model of a multi-order Markov hypothesis based on word frequency distribution and synonym analysis for carrying out multidimensional feature segmentation and fitting, and obtaining and storing a feature model; 2, after a to-be-examined report is input, selecting an examination task option based on an interaction unit, and calling the feature model for format examination and damage part examination; and 3, generating and displaying a legal medical expert identification and examination report according to examination results of format examination and injury part examination. According to the method, the HMM model of the multi-order Markov hypothesis constructed by utilizing the characteristics associated with common term synonyms and contexts in forensic medicine is constructed, and the feature model is established, so that legal persons are helped to quickly and accurately examine and identify flaws and errors existing in reports.

Description

Technical field [0001] The invention relates to the field of semantic extraction and analysis, in particular to a method and system for reviewing forensic identification reports. Background technique [0002] In the context of the gradual advancement of the current judicial system reform, a large number of inspection reports, appraisal opinions, evaluation reports and expert review opinions are increasingly required for professionalism, scientificity and objectivity. Prosecutors, lawyers and judges have The awareness and depth of evidence review have been continuously strengthened. However, such opinions or reports are still written by investigators and appraisers using various text editing software in this professional term. There are problems of time-consuming, complicated procedures, and low efficiency caused by manual search and management of the cited data sources. For example, most of the legal professionals handling drug cases in Yunnan Province are drug-related biochemic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H15/00G06F17/27
CPCG16H15/00G06F40/284G06F40/289
Inventor 张银柱王红专郭军红吴益真王广峰李翠翠
Owner 河南开合软件技术有限公司
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