Using fuzzy data mining to diagnose patients' degrees of melancholia

Yo-Ping Huang; Wen-Lin Kuo

doi:10.1117/12.883606

31 May 2011 Using fuzzy data mining to diagnose patients' degrees of melancholia

Yo-Ping Huang, Wen-Lin Kuo

Proceedings Volume 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011; 806317 (2011) https://doi.org/10.1117/12.883606
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

The common treatments of melancholia are psychotherapy and taking medicines. The psychotherapy treatment which this study focuses on is limited by time and location. It is easier for psychiatrists to grasp information from clinical manifestation but it is difficult for psychiatrists to collect information from patients' daily conversations or emotion. To design a system which psychiatrists enable to capture patients' daily symptoms will show great help in the treatment. This study proposes to use fuzzy data mining algorithm to find association rules among keywords segmented from patients' daily voice/text messages to assist psychiatrists extract useful information before outpatient service. Patients of melancholia can use devices such as mobile phones or computers to record their own emotion anytime and anywhere and then uploading the recorded files to the back-end server for further analysis. The analytical results can be used for psychiatrists to diagnose patients' degrees of melancholia. Experimental results will be given to verify the effectiveness of the proposed methodology.

Citation Download Citation

Yo-Ping Huang and Wen-Lin Kuo "Using fuzzy data mining to diagnose patients' degrees of melancholia", Proc. SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 806317 (31 May 2011); https://doi.org/10.1117/12.883606

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