Soft Computing Techniques for Type-2 Diabetes Data Classification 1st Edition (2020) (PDF) by Ramalingaswamy Cheruku

Description

Diabetes Mellitus (DM, commonly referred to as diabetes, is a metabolic disorder in which there are high blood sugar levels over a prolonged period. Lack of sufficient insulin causes presence of excess sugar levels in the blood. As a result the glucose levels in diabetic patients are more than normal ones. It has symptoms like frequent urination, increased hunger, increase thirst and high blood sugar. There are mainly three types of diabetes namely type-1, type-2 and gestational diabetes. Type-1 DM occurs due to immune system mistakenly attacks and destroys the beta-cells and Type-2 DM occurs due to insulin resistance. Gestational DM occurs in women during pregnancy due to insulin blocking by pregnancy harmones. Among these three types of DM, type-2 DM is more prevalence, and impacting so many millions of people across the world. Classification and predictive systems are actually reliable in the health care sector to explore hidden patterns in the patients data. These systems aid, medical professionals to enhance their diagnosis, prognosis along with remedy organizing techniques. The less percentage of improvement in classifier predictive accuracy is very important for medical diagnosis purposes where mistakes can cause a lot of damage to patient’s life. Hence, we need a more accurate classification system for prediction of type-2 DM. Although, most of the above classification algorithms are efficient, they failed to provide good accuracy with low computational cost. In this book, we proposed various classification algorithms using soft computing techniques like Neural Networks (NNs), Fuzzy Systems (FS) and Swarm Intelligence (SI). The experimental results demonstrate that these algorithms are able to produce high classification accuracy at less computational cost. The contributions presented in this book shall attempt to address the following objectives using soft computing approaches for identification of diabetes mellitus.

This book serves as a reference book for scientific investigators who need to analyze disease data and/or numerical data, as well as researchers developing methodology in soft computing field. It may also be used as a textbook for a graduate and post graduate level course in machine learning or soft computing.

User’s Reviews

Dr. Ramalingaswamy Cheruku is currently working as an Assistant Professor
at Dr. Shyama Prasad Mukherjee International Institute of Information
Technology, Naya Raipur, India. He has obtained Ph.D. in Computer Science
and Engineering from National Institute of Technology Goa, India in 2018.
He received B.Tech. degree in CSE from JNT University, Kakinada campus in
2008, M.Tech. degree in CSE from ABV-Indian Institute of Information
Technology, Gwalior in 2011. He has served as developer in Tata Consultancy
Services for 2 years. He has also published several papers in reputed
journals and conferences. Dr. Damodar Reddy Edla is an Assistant Professor
in the department of Computer Science and Engineering at National Institute
of Technology Goa, India. He received M.Sc. Degree from University of
Hyderabad in 2006, M. Tech. in Computer Application and Ph. D. Degree in
Computer Science and Engineering from Indian School of Mines Dhanbad in
2009 and 2013 respectively. His research interests include Cognitive
Neuroscience, Data Mining, Wireless Sensor Networks and Brain Computer
Interface. He has published more than 90 research articles in reputed
journals and International conferences. He is senior member of IEEE and
IACSIT. He is also Editorial Board member of several International
journals. Dr. Venkatanareshbabu Kuppili, Ph D (IIT Delhi), is with the
Machine Learning Group, Department of CSE, NIT Goa, India, where he is
currently an Assistant Professor. He was with Evalueserve pvt. ltd, as a
Senior Research Associate. He is also actively involved in teaching and
research development for the Graduate Program in Computer Science and
Engineering Department at the NIT Goa. He has authored several research
papers published in reputed International journals and conferences. He is
senior member of IEEE.

Currently we found no user’s reviews for this book.

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