Title
An AI Approach to Transform the E-Patient Records into Clinical Cases for Medical Diagnostic Systems
Document Type
Presentation
Publication Date
2012
Abstract
A major problem for researchers in medical informatics is the presence of ‘useful’ Electronic Patient Record (EPR) and its use in providing important information to and about the patient’s diseases and treatment. This paper discusses the importance of medical informatics and its role in health procurement branch. It also proposes an AI approach to transform the E-Patient records into clinical cases for medical diagnostic systems. This approach is based on using medical documents to generate E-Patient records, then mapping these records to build medical cases to form a cases repository that would be utilized in a CBR-medical diagnostic system.
Recommended Citation
Hodhod, Rania, "An AI Approach to Transform the E-Patient Records into Clinical Cases for Medical Diagnostic Systems" (2012). Faculty Bibliography. 59.
https://csuepress.columbusstate.edu/bibliography_faculty/59
