Diseases Diagnosis Using Medical Palmistry Fuzzy Model

Department of Computer Science, Science College, University of Basra, Iraq

^a Corresponding author: zai_nab_alfahad@yahoo.com

Abstract

The design n, implementation, and use of biomedical information systems in the form of computer – aided decision support have become essential and widely used over the last two decades. Medical decision support systems play an increasingly important role in medical practice by assisting physicians who make clinical decisions. Medical scientists discovered that the hand can be used as an indicator for medical problems and the palm is the reflection of activities going on brain. The purpose of this research is to design and implement a decision support model for healthcare on the basis of medical palmistry to diagnose the diseases from palm colors. Database palm images for patients infected with specific disease is created from capturing live images from hospitals. Digital image processing techniques on input images are applied. Fuzzy Inference System is used to present medical knowledge as network diseases connected with each other by logical relations. The model is built to assist medical practitioners for taking diagnosis decision for four special diseases. The results obtained from this work are confidence.