dc.contributor.author | Huang, Yo-Ping | |
dc.contributor.author | Chiu, Hong-Wen | |
dc.contributor.author | Chuan, Wei-Po | |
dc.contributor.author | Sandnes, Frode Eika | |
dc.date.accessioned | 2010-11-08T11:48:56Z | |
dc.date.available | 2010-11-08T11:48:56Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Huang, Y., Chiu, H., Chuan, W. & Sandnes, F.E. (2010). Discovering Fuzzy Association Rules from Patient's Daily Text Messages to Diagnose Melancholia. In: G. Dimirovski (Ed.), Proceedings of SMC2010. Piscataway, N.J. : Institute of Electrical and Electronics Engineers | en_US |
dc.identifier.isbn | 978-1-4244-6587-3 | |
dc.identifier.uri | https://hdl.handle.net/10642/497 | |
dc.description.abstract | With the constant stress from work load and daily life
people may show symptoms of melancholia. However, most
people are reluctant to describe it or may not know that they
already have it. In this paper a novel system is proposed to
discover clues from patient’s interaction with psychologist or
from self-recorded voice or text messages. A user friendly
interface is provided for patients to input text messages or record
a voice file by mobile phones or other input devices. A speech-totext
conversion software is used to convert voice mails to simple
text files in advance. Based on the text files, a data mining model
is used to discover frequent keywords mentioned in the text or
speech files. The association rules can be used to help
psychologists diagnose patients’ degree of melancholia.
Experimental results show that the proposed system can
effectively discover melancholia keywords. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE Press | en_US |
dc.subject | Data mining | en_US |
dc.subject | Fuzzy model | en_US |
dc.subject | Word segmentation | en_US |
dc.subject | Association rules | en_US |
dc.subject | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551 | en_US |
dc.subject | VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Psykiatri, barnepsykiatri: 757 | en_US |
dc.title | Discovering Fuzzy Association Rules from Patient's Daily Text Messages to Diagnose Melancholia | en_US |
dc.type | Chapter | en_US |
dc.type | Peer reviewed | en_US |