Application of Process Mining for Tuberculosis Testing Process

Vishwas Saralaya, Sridevi Saralaya, Lahari Kotian, Aquilla Miranda, Isha Bekal, Y. Jyothi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The advent of Information technology has had a huge impact on interpretation of the vast knowledge of information available in the health care sector. The vast amount of data generated in this area needs to be appropriately stowed (cached) in order to conduct automated analysis. A huge amount of research data exists in varied areas of health care sector such as extraction and analysis of scanned images, implications of results of various investigations and the treatment process. One related area which lacks significant research is the laboratory testing process to diagnose any illness, which is a prime step to initiate and provide apt treatment. One such disease which has been the cause of considerable morbidity and mortality worldwide is Tuberculosis (TB). Our objective was to study the applicability of process mining to extract the trajectories of diagnostic tests performed for the conformance of Tuberculosis (TB) and to verify time conformance of such tests conducted with that as specified by regulatory bodies.

Original languageEnglish
Title of host publication2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665421683
DOIs
Publication statusPublished - 2022
Event7th IEEE International conference for Convergence in Technology, I2CT 2022 - Pune, India
Duration: 07-04-202209-04-2022

Publication series

Name2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022

Conference

Conference7th IEEE International conference for Convergence in Technology, I2CT 2022
Country/TerritoryIndia
CityPune
Period07-04-2209-04-22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management

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