… to predict and classify breast cancer risk. This paper aims to investigate the feasibility … using
ensemble learning and big data fusion for risk prediction and categorization of breast cancer. …

… current breast cancer prediction model in order to improve its … diagnosis [6, 12-14], and
diabetes diagnosis[15, 16]. This … of the sequence of symptoms using machine learning (ML) is …

… using machine learning classification algorithms. In this work, breast cancer, heart, and diabetes
… the work on Breast cancer prediction using Supervised machine learning techniques on …

… increase of diabetes using the … breast cancer patient's chance of survival; in this study, they
also used logistic regression as one of the machine learning fusion techniques for prediction. …

… of diabetes patients using machine learning … breast cancer dataset too. It is depicted in
Table 2 depicts the comparison of various machine learning algorithms using breast cancer …

… an optimized stacking ensemble learning (OSEL) model capable of early breast cancer
prediction. A dataset … Analysis and prediction of breast cancer and diabetes disease datasets …

… prediction as compared to single classifier approaches. This paper presents a heterogeneous
ensemble machine learning approach, to detect breast … has diabetes or not, we can use …

… Machine learning has been very helpful in the early prediction of the fatal diseases such as
cancer and diabetes for … used to predict breast cancer and diabetes. A comparison of various …

… for prediction purposes must be devised. The aim of this study is to increase the accuracy of
machine learning ensemble … the UCI diabetes dataset and comparing their performances. …

… loss are Breast cancer, Heart disease, Cervical cancer and Diabetes. … the prediction results
of the breast cancer classification before and after using feature selection techniques using …