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Komen Research Grants Fiscal Year 2009
Documents Komen Research Grants Fiscal Year 2009

1.Susan G. Komen for the Cure Research Grants – Fiscal Year 2009 This slate of research grants was approved by Komen’s national board of directors on March 25, 2009.…

Data Mining Techniques in Predicting Breast Cancer
Documents Data Mining Techniques in Predicting Breast Cancer

Data Mining Techniques in Predicting Breast CancerISSN 1812-5654 DOI: 10.3923/jas.2020.124.133 Hamza Saad and Nagendra Nagarur Department of System Sciences and Industrial

Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review
Documents Predicting Breast Cancer Recurrence Using Machine Learning Techniques: A Systematic Review

CSUR4903-52PEDRO HENRIQUES ABREU and MIRIAM SEOANE SANTOS, CISUC, Department of Informatics Engineering, Faculty of Sciences and Technology of Coimbra University, Portugal

Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence
Documents Using Three Machine Learning Techniques for Predicting Breast Cancer Recurrence

Using Three Machine Learning Techniques for Predicting Breast Cancer RecurrenceResearch Article Open Access Volume 4 • Issue 2 • 1000124 J Health Med Inform ISSN:

Predicting Breast Cancer via Supervised Machine Learning Methods on Class Imbalanced Data
Documents Predicting Breast Cancer via Supervised Machine Learning Methods on Class Imbalanced Data

Predicting Breast Cancer via Supervised Machine Learning Methods on Class Imbalanced Data54 | P a g e www.ijacsa.thesai.org Predicting Breast Cancer via Supervised Machine

Predicting Breast Cancer Survivability Using Data Mining Techniques
Documents Predicting Breast Cancer Survivability Using Data Mining Techniques

Microsoft Word - paper3.docAbdelghani Bellaachia, Erhan Guven Department of Computer Science The George Washington University Washington DC 20052 {bell, eguven}@gwu.edu Abstract

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