Breast Cancer Diagnosis System Based on Semantic Analysis and Choquet Integral Feature Selection for High Risk Subjects

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In today?s healthcare setting, the accurate and timely diagnosis of breast cancer is critical for recovery and treatment in the early stages. In recent years, the Internet of Things (IoT) has experienced a transformation that allows the analysis of real-... ver más

Revista: Future Internet

Breast and Lung Anticancer Peptides Classification Using N-Grams and Ensemble Learning Techniques

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Ayad Rodhan Abbas, Bashar Saadoon Mahdi and Osamah Younus Fadhil

Anticancer peptides (ACPs) are short protein sequences; they perform functions like some hormones and enzymes inside the body. The role of any protein or peptide is related to its structure and the sequence of amino acids that make up it. There are 20 ty... ver más

Revista: Big Data and Cognitive Computing

Breast Cancer Diagnosis System Based on Semantic Analysis and Choquet Integral Feature Selection for High Risk Subjects

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Soumaya Trabelsi Ben Ameur, Dorra Sellami, Laurent Wendling and Florence Cloppet

In this work, we build a computer aided diagnosis (CAD) system of breast cancer for high risk patients considering the breast imaging reporting and data system (BIRADS), mapping main expert concepts and rules. Therefore, a bag of words is built based on ... ver más

Revista: Big Data and Cognitive Computing

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