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A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters.
中文名称索引;定义为 MeSH 英文原文,尚未逐条译审。MESH:D000077272 · MeSH 2026。
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