Analysis of depression trajectory patterns using collaborative learning

DOI10.1016/J.MBS.2016.10.008zbMath1352.92082OpenAlexW2539343603WikidataQ38376319 ScholiaQ38376319MaRDI QIDQ343094

Ying Lin, Gregory E. Simon, Shan Liu, Shuai Huang

Publication date: 21 November 2016

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2016.10.008

zbMATH Keywords

classificationclusteringstatistical learningdepressionmental healthtrajectory pattern

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Related Items (1)

Partially observable collaborative model for optimizing personalized treatment selection

Cites Work

• A statistical perspective on ill-posed inverse problems (with discussion)
• A practical guide to splines
• Comparing clusterings -- an information based distance
• A Method for Comparing Two Hierarchical Clusterings
• Fast Computation of Fully Automated Log-Density and Log-Hazard Estimators

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