Evaluation of the diagnostic power of thermography in breast cancer using Bayesian network classifiers

DOI10.1155/2013/264246zbMath1307.92017DBLPjournals/cmmm/Cruz-RamirezMAMAPGHB13OpenAlexW2036489208WikidataQ36907812 ScholiaQ36907812MaRDI QIDQ2262094

Nancy Pérez-Castro, María Yaneli Ameca-Alducin, Nicandro Cruz-Ramírez, Rocío Erandi Barrientos-Martínez, Alejandro Guerra-Hernández, Guillermo de Jesús Hoyos-Rivera, Efrén Mezura-Montes, Héctor Gabriel Acosta-Mesa, Enrique Martín-Del-Campo-Mena

Publication date: 16 March 2015

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/264246

Mathematics Subject Classification ID

General biostatistics (92B15) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Application of the photoacoustic technique for temperature measurements during hyperthermia

Cites Work

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• The max-min hill-climbing Bayesian network structure learning algorithm
• Cost-sensitive boosting for classification of imbalanced data

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