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
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Abstract

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.
预测抑郁症患者痴呆风险:一种分类方法
世界卫生组织将抑郁症确定为21世纪三大疾病之一,研究表明,抑郁症患者比非抑郁症患者更有可能在未来患上痴呆症。然而,尽管有许多相关研究指出抑郁症是痴呆的重要因素之一,然而,这些发现并不一致。此外,尚无基于证据构建抑郁症患者痴呆预测模型用于临床实践的研究。因此,本研究将利用监督学习技术构建抑郁症患者痴呆的随访预测模型,帮助抑郁症患者及其医护人员预测其可能患痴呆的风险,进而制定早期干预和预防措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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