Mining of patient data: towards better treatment strategies for depression
An intelligent system based on data-mining technologies that can be used to assist in the prevention and treatment of depression is described. The system integrates three different kinds of patient data as well as the data describing mental health of therapists and their interaction with the patient...
| Main Authors: | , , |
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| Format: | Journal Article |
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Inderscience
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/19747 |
| _version_ | 1848750118325452800 |
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| author | Hadzic, Maja Hadzic, Fedja Dillon, Tharam S. |
| author_facet | Hadzic, Maja Hadzic, Fedja Dillon, Tharam S. |
| author_sort | Hadzic, Maja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | An intelligent system based on data-mining technologies that can be used to assist in the prevention and treatment of depression is described. The system integrates three different kinds of patient data as well as the data describing mental health of therapists and their interaction with the patients. The system allows for the different data to be analysed in a conjoint manner using both traditional data-mining techniques and tree-mining techniques. Interesting patterns can emerge in this way to explain various processes and dynamics involved in the onset, treatment and management of depression, and help practitioners develop better prevention and treatment strategies. |
| first_indexed | 2025-11-14T07:31:45Z |
| format | Journal Article |
| id | curtin-20.500.11937-19747 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:31:45Z |
| publishDate | 2010 |
| publisher | Inderscience |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-197472017-09-13T15:56:52Z Mining of patient data: towards better treatment strategies for depression Hadzic, Maja Hadzic, Fedja Dillon, Tharam S. data analysis data mining XML mining personalised treatment mental health depression treatment therapists tree mining patient data personalised care depression prevention An intelligent system based on data-mining technologies that can be used to assist in the prevention and treatment of depression is described. The system integrates three different kinds of patient data as well as the data describing mental health of therapists and their interaction with the patients. The system allows for the different data to be analysed in a conjoint manner using both traditional data-mining techniques and tree-mining techniques. Interesting patterns can emerge in this way to explain various processes and dynamics involved in the onset, treatment and management of depression, and help practitioners develop better prevention and treatment strategies. 2010 Journal Article http://hdl.handle.net/20.500.11937/19747 10.1504/IJFIPM.2010.037150 Inderscience fulltext |
| spellingShingle | data analysis data mining XML mining personalised treatment mental health depression treatment therapists tree mining patient data personalised care depression prevention Hadzic, Maja Hadzic, Fedja Dillon, Tharam S. Mining of patient data: towards better treatment strategies for depression |
| title | Mining of patient data: towards better treatment strategies for depression |
| title_full | Mining of patient data: towards better treatment strategies for depression |
| title_fullStr | Mining of patient data: towards better treatment strategies for depression |
| title_full_unstemmed | Mining of patient data: towards better treatment strategies for depression |
| title_short | Mining of patient data: towards better treatment strategies for depression |
| title_sort | mining of patient data: towards better treatment strategies for depression |
| topic | data analysis data mining XML mining personalised treatment mental health depression treatment therapists tree mining patient data personalised care depression prevention |
| url | http://hdl.handle.net/20.500.11937/19747 |