Title: Clinical decision support system for the diagnosis of Hepatitis C virus

Authors: Pratima Tandon; Dinesh P. Mital; Shankar Srinivasan; Riddhi Vyas

Addresses: Department of Health Informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA ' Department of Health Informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA ' Department of Health Informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA ' Department of Health Informatics, Rutgers – School of Health Professions, Piscataway, New Jersey 08854, USA

Abstract: A new clinical decision support system (CDSS) was developed using Exsys Corvid for the diagnosis of Hepatitis C virus. This CDSS is medically accurate and can guide healthcare professionals through the diagnostic process. Corvid Exsys rule-based system is used for building automated expert systems. The software utilises backward and forward chaining techniques. All the questions asked by the system during the diagnosis process are based on the clinical literature. The system can guide a clinician through the diagnostic process to achieve hepatitis results. Decision-making expert system was successfully developed to diagnose the Hepatitis C virus.

Keywords: hepatitis; Hepatitis C; clinical decision support system; CDSS; decision support systems; jaundice.

DOI: 10.1504/IJMEI.2023.132569

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.4, pp.352 - 370

Received: 30 Jan 2021
Accepted: 05 Jun 2021
Published online: 30 Jul 2023 *

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