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Psychiatrists, Expert System, Knowledge base, Ontology, Natural Language Understanding (NLU), Natural Language Generation (NLG), Anxiety, Dementia
Psychological issues in the world are exponentially growing and the treatment gap is also comparatively high. The main reason would be the shortage of expertise and time-consuming in conventional diagnose process. The main objective of this research is to lower the mental issues treatment gap of professionals or apprentices in the field by creating a virtual expert system to assist psychiatrists. This system diagnoses most common mental disorders such as Depression Disorder, Anxiety Disorder, and Dementia. The proposed expert system can communicate with patients, to identify the current state of the illness. During the conversation, a standard questionnaire is given for the disease verification purpose. The experienced mental health professionals can use this expert system to assist in diagnosing process and the apprentices of the psychology can use this expert system as a training asset.
Udara Srimath S. Samaratunge Arachchillage, "Smart Virtual Expert System to Assist Psychiatrists (SVESTAP)", International Journal of Information Technology and Computer Science(IJITCS), Vol.10, No.1, pp.59-67, 2018. DOI:10.5815/ijitcs.2018.01.07
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