Path: Top -> Journal -> Telkomnika -> 2019 -> Vol 17, No 6, Desember 2019

A Web/Mobile Decision Support System to Improve Medical Diagnosis Using a Combination of K-Mean Clustering and Fuzzy Logic

Journal from gdlhub / 2020-01-09 15:13:30
Oleh : Zainab Talib Drweesh,Abbass Al-Bakry, Telkomnika
Dibuat : 2020-01-09, dengan 1 file

Keyword : K-Mean Clustering; Expert System; Fuzzy Logic; AI; Communication
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Sumber pengambilan dokumen : web

This research provides a system that integrates the work of data mining and expert system for different tasks in the process of medical diagnosis, and provides detailed steps to the process of reaching a diagnosis based on the described symptoms and mapping them with existing diagnosis available on the web or on a cloud of medical knowledge based, aggregate these data in a fuzzy manner and produce a satisfactory diagnosis of the persisting problem. The mobile phone interface would make the system user-friendly and provides mobility and accessibility to the user, while posting updates and reading in details the steps that led to the decision or diagnosis that is reached by the K-mean and the fuzzy logic inference engine.The achieved results indicate a promising diagnosis performance of the system as it achieved 90% accuracy and 92.9% F-Score.

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ID Publishergdlhub
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