SDS Schizophrenia Detection System Using ID3 Algorithm Implemented For Mobile Application

Siti Umairah, Abdul Halim (2013) SDS Schizophrenia Detection System Using ID3 Algorithm Implemented For Mobile Application. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Schizophrenia Detection System is a system that helps peoples to check early detection of schizophrenia. Schizophrenia is a serious brain illness. Many people with mental disorder are disabled by their symptoms. This system will be developed as mobile application based on Personal Knowledge Management (PKM). This is a classification process of development the system to classify the schizophrenia and non schizophrenia. The symptoms to develop this symptom have found from medical assistance and expertise. The symptoms or data will be analyzed by using machine learning technique in artificial intelligence contribution which is ID3 algorithm and expert system technique which is forward chaining to get knowledge in inference engine system. In ID3, it will determine which question should be asked first in the system. In the inference engine, it will have rules has been create by ID3 algorithm. ID3 will calculate the information gain for every attribute. This system will be developed in JAVA platform. The symptoms will be a question in a mobile application expert system. Users will answer the question based on experience in this mental disorder until their get the result at the end of using this application. The result will be schizophrenia or non schizophrenia and what the category of schizophrenia.

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