Using Data Mining to Predict Possible Future Depression Cases
Kevin Daimi, Shadi Banitaan
Abstract
Depression is a disorder characterized by misery and gloominess felt over a period of time. Some symptoms of depression overlap with somatic illnesses implying considerable difficulty in diagnosing it. This paper contributes to its diagnosis through the application of data mining, namely classification, to predict patients who will most likely develop depression or are currently suffering from depression. Synthetic data is used for this study. To acquire the results, the popular suite of machine learning software, WEKA, is used.
DOI:
http://doi.org/10.11591/ijphs.v3i4.4697
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International Journal of Public Health Science (IJPHS) p-ISSN: 2252-8806, e-ISSN: 2620-4126
This journal is published by the Intelektual Pustaka Media Utama (IPMU) in collaboration with Institute of Advanced Engineering and Science (IAES) .
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