Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data

Medical diagnostics is often a multi-attribute problem, necessitating sophisticated tools for analyzing high-dimensional biomedical data. Mining this data often results in two crucial bottlenecks: 1) high dimensionality of features used to represent rich biological data and 2) small amounts of label...

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Detalles Bibliográficos
Autores principales: Lee, George, Romo Bucheli, David Edmundo, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946789/
https://www.ncbi.nlm.nih.gov/pubmed/27421116
http://dx.doi.org/10.1371/journal.pone.0159088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4946789/
https://www.ncbi.nlm.nih.gov/pubmed/27421116
http://dx.doi.org/10.1371/journal.pone.0159088

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