Early Detection of Breast Cancer Through Supervised Machine Learning

ISBN-13: 9783659367281 / Angielski / Miękka / 2015 / 232 str.

Sandeep Chaurasia

Opis

An effective way to reduce the high mortality rate of breast cancer is to detect it at an early stage. Prevention is still a mystery and the only way to reduce the mortality rate of patients by early detection. One of the primary goals of machine learning is to device an efficient algorithm for training computers to automatically acquire effective and accurate model from experience. It is providing a technique, method tools that can assist in solving prognosis and diagnosis problems in a variety of medical domains. It is argued that the successful implementation of ML methods can help the integration of computer-based systems in the healthcare environment providing opportunities to facilitate and enhance the work of medical experts and ultimately to improve the efficiency and quality of medical care. Classification techniques are reducing the possible errors that might be made because of unverified experts; provide more detailed medical data for examination in a shorter time.

O autorze

Sandeep Chaurasia is Ph.D in Computer Engineering with specialization in Machine Learning and has over 7 years of teaching experience. He is presently working as Assistant Professor in CSE Department at Sir Padampat Singhania University. His research interests include Binary Classification using ensemble learning & Soft Computing.