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has been cited by the following article:

• TITLE: An Expert System for Diagnosis and Treatment of Mental Ailment

  AUTHORS: Stanley Ikechukwu Oguoma, Kizito Kanayo Uka, Chekwube Alphonsus Chukwu, Emeka Christian Nwaoha

  KEYWORDS: Artificial Intelligence, Expert System, Mental Ailment, Diagnosis, Treatment and Database

  JOURNAL NAME: Open Access Library Journal, Vol.7 No.4, April 16, 2020

  ABSTRACT: The stigmatization and the accompanying problems with mentally challenged persons in the third world countries like Nigeria in getting good medication are better imagined than experienced. This paper presents the design, implementation of expert system for the diagnosis and treatment of mental ailment on interactive platform for remote consultation and monitoring of mental health patients within and outside the hospital. The study of the existing system was carried out using Structural System Analysis Design Methodology (SSADM) which involved personal observation and visits to 3 National hospitals. These data collected were analyzed using computer software and an expert system for the diagnosis and treatment of mental ill health developed using Hypertext Preprocessor (PHP), Hypertext Markup Language (HTML), Cascading Style Sheet (CSS) and AJAX programming Languages while backend was carried out with MySQL. The diagnosis that was rule-base was modeled based on expert knowledge and statistical analysis of the record of patients collected from this hospital database and existing literature.