Machine learning for Autopsy reports Forensic using Text Classification Techniques

Muhammad Rehman Shahid, Asim Munir, Layeba Ifraheem, Hamza Aldabbas, Abdul Wadood, Tariq Alwada'n

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A forensic autopsy is a surgical process in which experts collect a deceased body's internal and external information. These death certificates are the source of timely warnings of an increase in disease activity. It's only helpful if accurate and quantitative data is available. Therefore, the Classification of plain text medical autopsy reports reduces the time consumption and irregularities. The motive is to design an automatic text classification system that classifies plain text autopsy reports. Therefore, a methodology proposes using different Automatic Text Classification Techniques (ATC). This technique has embedded Feature Extraction, Feature Representation, and Feature Reduction techniques. These techniques use for the construction of classification models that classify the text of autopsy reports. Data sets collected from these types will be helpful in future experiments. Finally, the performance of the classifier measures by using different Evaluation parameters. These Evaluation Measures are Precision, Recall, Accuracy, and F-measure.

Original languageEnglish
Title of host publicationProceedings of 2022 2nd International Conference on Computing and Information Technology, ICCIT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages148-153
Number of pages6
ISBN (Electronic)9781665436052
ISBN (Print)9781665436052
DOIs
Publication statusPublished - 17 Feb 2022
Event2nd International Conference on Computing and Information Technology, ICCIT 2022 - Tabuk, Saudi Arabia
Duration: 25 Jan 202227 Jan 2022

Publication series

Name2022 2nd International Conference on Computing and Information Technology (ICCIT)

Conference

Conference2nd International Conference on Computing and Information Technology, ICCIT 2022
Country/TerritorySaudi Arabia
CityTabuk
Period25/01/2227/01/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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