MATEC Web Conf.
Volume 76, 201620th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
|Number of page(s)||9|
|Published online||21 October 2016|
Diseases Diagnosis Using Medical Palmistry Fuzzy Model
Department of Computer Science, Science College, University of Basra, Iraq
a Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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