Artificial Neural Network in Medical Diagnosis
Keywords:
Neural Network, Medical Diagnosis, Disease, symptoms, Pattern AnalysisAbstract
Artificial Neural Network is a branch of Artificial Intelligence, has been accepted as a new technology in computer science. Neural Networks are currently a "hot" research area in medicine. People are too busy these days and also consultation with an expert is either unavailable or not available in a timely fashion. Medical professionals are not available everywhere. Many emergency situations may arise in places where medical consultation is not easily available A computer aided diagnosis system can be developed using Neural Networks that simulates medical reasoning. Medical reasoning can be implemented using Neural Networks People can consult this system for common problems. The Patients input the symptoms and the system then recognizes the disease based on the set of symptoms selected. The system also gives first aid suggestion for medical emergencies. The basic aim of the system is to recognize disease based on the symptoms observed by the patient. This paper is basically a medical diagnosis system which tells the user about the disease he/she is having on the basis of his/her symptoms.
References
- Qeethara Kadhim AI-Shayea (March 2011), “ Artificial Neural Network in Medical Diagnosis” International Journal of Computer Science Issues, Vol. 8, Issue 2, March 2011
- Prof. Mahesh P. Desai (Nov-Dec 2013), “Self medical diagnosis using Artificial Neural Network” International Journal of Computer Technology & Applications, Vol. 3( 6), 2006-2013| (ISSN:2229-6093)
- Sarfaraz Ahmed (2014), “Medical Diagnosis using Neural Networks” 2014 International Journal of Engineering Development and Research (NCETSE-2014)|ISSN: 2321-9939
- Filippo Amato, Alberto Lopez (January 2013), “Artificial Neural Networks in Medical Diagnosis” Journal of Applied Biomedicine. 11: 47-58, ISSN 1214-02
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