Breast Cancer Classification Using Machine Learning

Diagnosing Breast Cancer by Machine Learning

Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...

Breast Cancer Classification using Support Vector Machine and Genetic Programming

Breast cancer is one of the most leading causes of death among women. The early detection of abnormalities in breast enables the radiologist in diagnosing the breast cancer easily. Efficient tools in diagnosing the cancerous breast will help the medical experts in accurate diagnosis and timely treatment to the patients. In this work, experiments carried out using Wisconsin Diagnosis Breast Canc...

An Investigation of the Breast Cancer Classification Using Various Machine Learning Techniques

Cancer classification using Machine Learning Technique on Microarray Data

The challenge of cancer treatment has been to identify distinct tumor types to enable the selection of specific therapies aimed to maximize efficacy and minimize toxicity. Improvements in cancer classifications have thus been central in the advances of cancer treatment. Today, most cancer classifications have been based primarily on morphological appearance of the tumor cell determined by the o...

Classification of cancer-related death certificates using machine learning.

BACKGROUND Cancer monitoring and prevention relies on the critical aspect of timely notification of cancer cases. However, the abstraction and classification of cancer from the free-text of pathology reports and other relevant documents, such as death certificates, exist as complex and time-consuming activities. AIMS In this paper, approaches for the automatic detection of notifiable cancer c...