Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology

BACKGROUND: Bio-ontologies are becoming increasingly important in knowledge representation and in the machine learning (ML) fields. This paper presents a ML approach that incorporates bio-ontologies and its application to the SEER-MHOS dataset to discover patterns of patient characteristics that imp...

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Detalles Bibliográficos
Autores principales: Min, Hua, Mobahi, Hedyeh, Irvin, Katherine, Avramovic, Sanja, Wojtusiak, Janusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603095/
https://www.ncbi.nlm.nih.gov/pubmed/28915930
http://dx.doi.org/10.1186/s13326-017-0149-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603095/
https://www.ncbi.nlm.nih.gov/pubmed/28915930
http://dx.doi.org/10.1186/s13326-017-0149-6

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