Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis
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- Diva Cristina Morett Romano Leão & Eliane Ramos Pereira & María Nieves Pérez-Marfil & Rose Mary Costa Rosa Andrade Silva & Angelo Braga Mendonça & Renata Carla Nencetti Pereira Rocha & María Paz Garcí, 2021. "The Importance of Spirituality for Women Facing Breast Cancer Diagnosis: A Qualitative Study," IJERPH, MDPI, vol. 18(12), pages 1-11, June.
- Eun Young Park & Myungsun Yi & Hye Sook Kim & Haejin Kim, 2021. "A Decision Tree Model for Breast Reconstruction of Women with Breast Cancer: A Mixed Method Approach," IJERPH, MDPI, vol. 18(7), pages 1-13, March.
- Wang, Haifeng & Zheng, Bichen & Yoon, Sang Won & Ko, Hoo Sang, 2018. "A support vector machine-based ensemble algorithm for breast cancer diagnosis," European Journal of Operational Research, Elsevier, vol. 267(2), pages 687-699.
- Kwang Ho Park & Erdenebileg Batbaatar & Yongjun Piao & Nipon Theera-Umpon & Keun Ho Ryu, 2021. "Deep Learning Feature Extraction Approach for Hematopoietic Cancer Subtype Classification," IJERPH, MDPI, vol. 18(4), pages 1-24, February.
- Giulia Bicchierai & Federica Di Naro & Diego De Benedetto & Diletta Cozzi & Silvia Pradella & Vittorio Miele & Jacopo Nori, 2021. "A Review of Breast Imaging for Timely Diagnosis of Disease," IJERPH, MDPI, vol. 18(11), pages 1-16, May.
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- Tim Hulsen, 2022. "Data Science in Healthcare: COVID-19 and Beyond," IJERPH, MDPI, vol. 19(6), pages 1-4, March.
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Keywords
machine learning models; data exploratory techniques; breast cancer diagnosis; tumors classification;All these keywords.
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