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Authors: Stuart Floyd 1 ; Carolina Ruiz 1 ; Sergio A. Alvarez 2 ; Jennifer Tseng 3 and Giles Whalen 3

Affiliations: 1 Worcester Polytechnic Institute, United States ; 2 Boston College, United States ; 3 University of Massachusetts Medical School, United States

Keyword(s): Machine learning, Meta-learning, Cancer, Prognosis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Medical and Nursing Informatics ; Sensor Networks ; Signal Processing ; Soft Computing ; Support for Clinical Decision-Making

Abstract: Machine learning predictive techniques have been shown to be useful in establishing cancer prognosis. However, no single machine learning technique provides the best results in all cases. This paper introduces an automated meta-learning technique that learns to predict the best performing machine learning technique for each patient. The individually selected machine learning technique is then used for prognosis for the given patient. The performance of the proposed approach is evaluated over a database of retrospective records of pancreatic cancer resections.

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Paper citation in several formats:
Floyd, S.; Ruiz, C.; A. Alvarez, S.; Tseng, J. and Whalen, G. (2010). MODEL SELECTION META-LEARNING FOR THE PROGNOSIS OF PANCREATIC CANCER. In Proceedings of the Third International Conference on Health Informatics (BIOSTEC 2010) - HEALTHINF; ISBN 978-989-674-016-0; ISSN 2184-4305, SciTePress, pages 29-37. DOI: 10.5220/0002711000290037

@conference{healthinf10,
author={Stuart Floyd. and Carolina Ruiz. and Sergio {A. Alvarez}. and Jennifer Tseng. and Giles Whalen.},
title={MODEL SELECTION META-LEARNING FOR THE PROGNOSIS OF PANCREATIC CANCER},
booktitle={Proceedings of the Third International Conference on Health Informatics (BIOSTEC 2010) - HEALTHINF},
year={2010},
pages={29-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002711000290037},
isbn={978-989-674-016-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Health Informatics (BIOSTEC 2010) - HEALTHINF
TI - MODEL SELECTION META-LEARNING FOR THE PROGNOSIS OF PANCREATIC CANCER
SN - 978-989-674-016-0
IS - 2184-4305
AU - Floyd, S.
AU - Ruiz, C.
AU - A. Alvarez, S.
AU - Tseng, J.
AU - Whalen, G.
PY - 2010
SP - 29
EP - 37
DO - 10.5220/0002711000290037
PB - SciTePress

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