Artificial Intelligence in Prediction of PostMortem Interval (PMI) Through Blood Biomarkers in Forensic Examination-A Concept

Mayssa Hachem, Bhoopesh Kumar Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Determining the postmortem interval PMI or time of death is a critical step in forensic investigations. Accurate estimation of the PMI is an important task for a forensic examiner. Recent developments in biochemical technologies have started to identify biomarkers in different biological fluids such as blood, urine for PMI estimation. Researches focusing on the use of blood in PMI estimation suggest that the femoral vein blood must be collectedfor measuring biochemical components. Forensic investigations are hurtling toward the introduction of Artificial Intelligence AI, an intelligence exhibited by machines that are trained to learn and solve problems. The present project outlines a concept of a device that can be used in the prediction of the PMI through providing the profile of different metabolites in blood such as Lactate dehydrogenase LDH, Aspartate aminotransferase AST, triglycerides and cholesterols. In addition to the measurement of blood pH. Use of these biochemical markers could be promising tools in forensic death investigations.

Original languageBritish English
Title of host publicationProceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages255-258
Number of pages4
ISBN (Electronic)9781538693469
DOIs
StatePublished - 26 Apr 2019
Event2019 Amity International Conference on Artificial Intelligence, AICAI 2019 - Dubai, United Arab Emirates
Duration: 4 Feb 20196 Feb 2019

Publication series

NameProceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019

Conference

Conference2019 Amity International Conference on Artificial Intelligence, AICAI 2019
Country/TerritoryUnited Arab Emirates
CityDubai
Period4/02/196/02/19

Keywords

  • Artificial intelligence
  • Aspartate aminotransferase
  • Biological fluids
  • Cholesterols
  • Lactate dehydrogenase
  • PH
  • Postmortem interval
  • Time of death
  • Triglycerides

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