MODEL SELECTION META-LEARNING FOR THE PROGNOSIS OF PANCREATIC CANCER

Stuart Floyd, Carolina Ruiz, Sergio A. Alvarez, Jennifer Tseng, Giles Whalen

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 Harvard Style

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 - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 29-37. DOI: 10.5220/0002711000290037


in Bibtex Style

@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 - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={29-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002711000290037},
isbn={978-989-674-016-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - MODEL SELECTION META-LEARNING FOR THE PROGNOSIS OF PANCREATIC CANCER
SN - 978-989-674-016-0
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