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

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

Abstract 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...

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Bibliographic Details
Main Authors: Hua Min, Hedyeh Mobahi, Katherine Irvin, Sanja Avramovic, Janusz Wojtusiak
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Journal of Biomedical Semantics
Subjects:
Machine learning
Bio-ontologies
Quality of life
Activities of daily living
SEER-MHOS
Online Access:http://link.springer.com/article/10.1186/s13326-017-0149-6

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http://link.springer.com/article/10.1186/s13326-017-0149-6

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