Diseases diagnosis using medical palmistry fuzzy model
Other Title(s)
تشخيص الأمراض باستخدام نموذج مضبب للقراءة الطبية لراحة اليد
Joint Authors
Salim, Sarmad Asad
Uthman, Zaynab Ibrahim
Source
Journal of Basrah Researches : Sciences
Issue
Vol. 42, Issue 1A (31 Mar. 2016), pp.68-79, 12 p.
Publisher
University of Basrah College of Education for Pure Sciences
Publication Date
2016-03-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Public Health
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Uthman, Zaynab Ibrahim& Salim, Sarmad Asad. 2016. Diseases diagnosis using medical palmistry fuzzy model. Journal of Basrah Researches : Sciences،Vol. 42, no. 1A, pp.68-79.
https://search.emarefa.net/detail/BIM-747341
Modern Language Association (MLA)
Uthman, Zaynab Ibrahim& Salim, Sarmad Asad. Diseases diagnosis using medical palmistry fuzzy model. Journal of Basrah Researches : Sciences Vol. 42, no. 1A (2016), pp.68-79.
https://search.emarefa.net/detail/BIM-747341
American Medical Association (AMA)
Uthman, Zaynab Ibrahim& Salim, Sarmad Asad. Diseases diagnosis using medical palmistry fuzzy model. Journal of Basrah Researches : Sciences. 2016. Vol. 42, no. 1A, pp.68-79.
https://search.emarefa.net/detail/BIM-747341
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 78
Record ID
BIM-747341