Predicting Dementia Risk to Depressive Disorder Patients: A classification Approach

Hsiao Ting Tseng, Hsiao Chi Li, Chia Lun Lo, Tai Hsiang Shen, Shu Chiung Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

The WHO identified depressive disorder as one of the three major diseases in the 21st century and studies have shown that patients with depression are more likely than nondepression to have dementia in the future. However, although there are many related studies that point out that depressive disorder is one of the important factor of dementia, however, these findings are not consistent. In addition, there has been no study of evidence-based construction of dementia prediction model of depressive disorder patients for clinical practice. Therefore, this study will use supervised learning techniques to construct a follow-up dementia prediction model for depressive disorder patients to assist depressive disorder patients and their medical staffs to predict his/her possible risk of suffering from dementia, and then develop early intervention and prevention measures.

原文???core.languages.en_GB???
主出版物標題Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019
發行者IEEE Computer Society
ISBN(電子)9781728128160
DOIs
出版狀態已出版 - 7月 2019
事件18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 - Kobe, Japan
持續時間: 7 7月 201910 7月 2019

出版系列

名字Proceedings - International Conference on Machine Learning and Cybernetics
2019-July
ISSN(列印)2160-133X
ISSN(電子)2160-1348

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???18th International Conference on Machine Learning and Cybernetics, ICMLC 2019
國家/地區Japan
城市Kobe
期間7/07/1910/07/19

指紋

深入研究「Predicting Dementia Risk to Depressive Disorder Patients: A classification Approach」主題。共同形成了獨特的指紋。

引用此