This chapter presents a smart healthcare monitoring system for patients by implanting
wireless sensors on the body which collect different vital physiological parameters such as …

The problem of imbalanced class distribution or small datasets is quite frequent in certain
fields especially in medical domain. However, the classical Naive Bayes approach in …

Machine learning is an artificial intelligence discipline that employs a variety of statistical,
mathematical, and computational approaches to allow computers to “literate” through past …

Cancer is one of the fastest growing disease around the world and subpart of it Breast
Cancer that is growing rapidly and mostly affecting women. Early treatment of this disease is …

According to international agency for research on cancer, female breast cancer was the
leading type of cancer worldwide in terms of the number of new cases (approximately 2.1 …

Cancer is a common disease that threats the life of one of every three people. This
dangerous disease urgently requires early detection and diagnosis. The recent progress in …

Cancer is one of the most deadly diseases in the world. It has no proven cure. The only hope
is to detect it at an early stage and undergo treatment. Today, machine learning is helping …

This research utilizes advanced machine learning techniques, specifically focusing on
Decision Tree, Naive Bayes, Random Forest, and Ada Boost models, to conduct a thorough …

Breast cancer (BC) is one of the leading cancer in the world, BC risk has been there for
women of the middle age also, it is the malignant tumor. However, identifying BC in the early …

The article presents the study of several machine learning algorithms that are used to study
breast cancer data with 33 features from 569 samples. The purpose of this research is to …