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Breast cancer risk prediction in African women using Random..:
Babafemi Oluropo Macaulay
;
Benjamin Segun Aribisala
;
Soji Alabi Akande
..
http://www.sciencedirect.com/science/article/pii/S2468294221000940. , 2021
Link:
https://doi.org/10.1016/j.ctarc.2021.100396
RT Journal T1
Breast cancer risk prediction in African women using Random Forest Classifier
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e7eb63e5fc9644ebb7f949e397dd00a0&Exemplar=1&LAN=DE A1 Babafemi Oluropo Macaulay A1 Benjamin Segun Aribisala A1 Soji Alabi Akande A1 Boluwaji Ade Akinnuwesi A1 Olusola Aanu Olabanjo PB Elsevier YR 2021 K1 Breast cancer K1 Random forest K1 Machine learning K1 African women K1 Risk prediction K1 Feature selection K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF http://www.sciencedirect.com/science/article/pii/S2468294221000940 LK http://dx.doi.org/https://doi.org/10.1016/j.ctarc.2021.100396 DO https://doi.org/10.1016/j.ctarc.2021.100396 SF ELIB - SuUB Bremen
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