Abstract: Cervical and breast cancers remain among the leading causes of cancer-related morbidity and mortality worldwide, with a disproportionate burden in low- and middle-income countries such as Nigeria, where late presentation, weak referral pathways, and limited access to oncological expertise hinder early detection. This study presents a hybridized mobile-application and machine learning system for the predictive and diagnostic screening of breast and cervical cancer, integrated with a structured herbal-treatment knowledge base, developed using Okposi, a rural.....
Keywords: Breast cancer; Cervical cancer; Machine learning; Mobile health; Herbal treatment; Support Vector Machine; XGBoost
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