Progress in researches on latent class analysis based subtyping of depression

VernacularTitle:基于潜类别分析模型的抑郁症分型的研究进展
Author: Cheng-Lei WANG ¹ ; Zhi-Guo WU ; Yi-Ru FANG
Author Information

1. 上海交通大学医学院附属精神卫生中心心境障碍科
Keywords: depression; subtyping; latent class analysis
From: Journal of Shanghai Jiaotong University(Medical Science) 2018;38(6):676-679
CountryChina
Language:Chinese
Abstract: Depression is a highly heterogeneous syndrome. Homogeneous subtypes according to symptomatology of illness may contribute to development of individualized treatment, assessment on outcomes and prognosis. Latent class analysis is a flexible statistical approach to determine classes with similar symptom profiles in a heterogeneous group, which has been widely used in data-driven subtyping of depression to increase accuracy of subtyping. This article reviewed existing symptom-based subtypes of depression and findings of researches on latent class analysis based illness subtyping.