Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence-Reference-Cited by-同舟云学术

Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence

Published:2019 Issue: Volume: Page:18-30
ISSN:0302-9743
Container-title:Green, Pervasive, and Cloud Computing
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Author:

Silva Jesús,Lezama Omar Bonerge Pineda,Varela Noel,Borrero Luz Adriana

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19223-5_2

Reference39 articles.

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3. Romieu, I., Lazcano-Ponce, E., Sanchez-Zamorano, L.M., Willett, W., Hernández-Avila, M.: Carbohydrates and the risk of breast cancer among Mexican women. Cancer Epidemiol. Prev. Biomark. 13(8), 1283–1289 (2004)

4. Rivera-Dommarco, J., Shamah-Levy, T., Villalpando-Hernandez, S., Gonzalez-de Cossio, T., Hernández-Prado, B., Sepulveda, I.: Encuesta Nacional de nutrición 1999. Estado nutricional de niños y mujeres en México. Instituto Nacional de Salud Pública, Cuernavaca (2001)

5. Simpson, J.F., Page, D.L.: Status of breast cancer prognostication based on histopathologic data. Am. J. Clin. Pathol. 102(4 Suppl. 1), S3–S8 (1994)

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