Abstract
Mental health is still a serious problem in Indonesia. Basic health research data in 2013 recorded the prevalence of severe mental disorders in Indonesia reaching 1.7 per mil. On the other hand, the availability of mental health services and experts in the field is not yet adequate and not evenly distributed. Therefore, developing a system to help diagnosing the types of mental disorders and their treatment can be an alternative to overcome these inequalities. Case-Based Reasoning is one of the reasoning methods in expert systems. On Case-Based Reasoning, a base case is required containing cases with sotions that have been achieved. To find a solution to a given new problem, the system will look for cases on the case base that have the highest level of similarity. In this research, a case-based reasoning system has been developed for dagnosing the types of schizophrenic disorders and mood disorders along with their treatment. The case base was constructed based on medical records of mental disorder patients, which were obtained from the collaboration with a Mental Hospital in Yogyakarta. In addition, it also considers Guidelines for Classification and Diagnosis of Mental Disorders in Indonesia III, which contains 10 categories of mental disorders.
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Mulyana, S., Hartati, S., Wardoyo, R. (2019). Case Based Reasoning for Diagnosing Types of Mental Disorders and Their Treatments. In: Berry, M., Yap, B., Mohamed, A., Köppen, M. (eds) Soft Computing in Data Science. SCDS 2019. Communications in Computer and Information Science, vol 1100. Springer, Singapore. https://doi.org/10.1007/978-981-15-0399-3_19
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