Progress in researches on latent class analysis based subtyping of depression / 上海交通大学学报(医学版)
Journal of Shanghai Jiaotong University(Medical Science)
;
(12): 676-679, 2018.
Article
in Chinese
| WPRIM
| ID: wpr-695732
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
Journal of Shanghai Jiaotong University(Medical Science)
Year:
2018
Type:
Article
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