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A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders
Anxiety disorders are considered the most prevalent of mental disorders. Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigat...
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| Published in: | IEEE journal of biomedical and health informatics 2010-05, Vol.14 (3), p.567-581 |
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| Main Authors: | , , , , , |
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| cites | cdi_FETCH-LOGICAL-c428t-9ab3a4b8e4f9cd7e3be49e1ae6481c031a32bad0a2010fa01078b61bd40ea723 |
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| container_issue | 3 |
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| container_title | IEEE journal of biomedical and health informatics |
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| creator | Panagiotakopoulos, Theodor Chris Lyras, Dimitrios Panagiotis Livaditis, Miltos Sgarbas, Kyriakos N Anastassopoulos, George C Lymberopoulos, Dimitrios K |
| description | Anxiety disorders are considered the most prevalent of mental disorders. Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigation. Toward this direction, in this study a context-aware approach is proposed, aiming to provide medical supervisors with a series of applications and personalized services targeted to exploit the multiparameter contextual data collected through a long-term monitoring procedure. More specifically, an application that assists the archiving and retrieving of the patients' health records was developed, and four treatment supportive services were considered. The three of them focus on the discovery of possible associations between the patient's contextual data; the last service aims at predicting the stress level a patient might suffer from, in a given context. The proposed approach was experimentally evaluated quantitatively (in terms of computational efficiency and time requirements) and qualitatively by experts on the field of mental health domain. The feedback received was very encouraging and the proposed approach seems quite useful to the anxiety disorders' treatment. |
| doi_str_mv | 10.1109/TITB.2009.2038905 |
| format | article |
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Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigation. Toward this direction, in this study a context-aware approach is proposed, aiming to provide medical supervisors with a series of applications and personalized services targeted to exploit the multiparameter contextual data collected through a long-term monitoring procedure. More specifically, an application that assists the archiving and retrieving of the patients' health records was developed, and four treatment supportive services were considered. The three of them focus on the discovery of possible associations between the patient's contextual data; the last service aims at predicting the stress level a patient might suffer from, in a given context. 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(IEEE) May 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-9ab3a4b8e4f9cd7e3be49e1ae6481c031a32bad0a2010fa01078b61bd40ea723</citedby><cites>FETCH-LOGICAL-c428t-9ab3a4b8e4f9cd7e3be49e1ae6481c031a32bad0a2010fa01078b61bd40ea723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5378491$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,786,790,27957,27958,55147</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20071265$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Panagiotakopoulos, Theodor Chris</creatorcontrib><creatorcontrib>Lyras, Dimitrios Panagiotis</creatorcontrib><creatorcontrib>Livaditis, Miltos</creatorcontrib><creatorcontrib>Sgarbas, Kyriakos N</creatorcontrib><creatorcontrib>Anastassopoulos, George C</creatorcontrib><creatorcontrib>Lymberopoulos, Dimitrios K</creatorcontrib><title>A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders</title><title>IEEE journal of biomedical and health informatics</title><addtitle>TITB</addtitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><description>Anxiety disorders are considered the most prevalent of mental disorders. 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Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigation. Toward this direction, in this study a context-aware approach is proposed, aiming to provide medical supervisors with a series of applications and personalized services targeted to exploit the multiparameter contextual data collected through a long-term monitoring procedure. More specifically, an application that assists the archiving and retrieving of the patients' health records was developed, and four treatment supportive services were considered. The three of them focus on the discovery of possible associations between the patient's contextual data; the last service aims at predicting the stress level a patient might suffer from, in a given context. 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| identifier | ISSN: 1089-7771 |
| ispartof | IEEE journal of biomedical and health informatics, 2010-05, Vol.14 (3), p.567-581 |
| issn | 1089-7771 2168-2194 1558-0032 2168-2208 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Journals |
| subjects | Activities of Daily Living Anxiety Anxiety Disorders - therapy Artificial Intelligence Bayes Theorem Biomedical monitoring Computational efficiency Context awareness Context-aware services Data mining Data Mining - methods Human factors Humans Laboratories Life Style machine learning Medical treatment Mental disorders mental health Models, Biological Patient monitoring Pattern Recognition, Automated Precision Medicine Psychology ROC Curve Stress, Psychological - therapy user modeling |
| title | A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders |
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