Views: 16

Soft Computing Techniques for Type-2 Diabetes Data Classification 1st Edition

Product code : 1623222794

by Ramalingaswamy Cheruku (Author), Damodar Reddy Edla (Author), Venkatanareshbabu Kuppili (Author)


    Soft Computing Techniques for Type-2 Diabetes Data Classification 1st Edition

    by Ramalingaswamy Cheruku (Author), Damodar Reddy Edla (Author), Venkatanareshbabu Kuppili (Author)

    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.













    • Introuducing an optimized RBFN model called Opt-RBFN.
    • Designing a cost effective rule miner called SM-RuleMiner for type-2 diabetes diagnosis.
    • Generating more interpretable fuzzy rules for accurate diagnosis of type2 diabetes using RST-BatMiner.
    • Developing accurate cascade ensemble frameworks called Diabetes-Network for type-2 diabetes diagnosis.
    • Proposing a Multi-level ensemble framework called Dia-Net for improving the classification accuracy of type-2 diabetes diagnosis.
    • Designing an Intelligent Diabetes Risk score Model called Intelli-DRM estimate the severity 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.


    Product details

    • Publisher : Chapman and Hall/CRC; 1st edition (July 27, 2020)
    • Language : English
    • Hardcover : 168 pages

Related Products


Nephron-Sparing Surgery

by Krishna Sasidharan (Editor), Mark Soloway (Editor)


Oxford Handbook of General Practice (Oxford Medical Handbooks) 5th Edition

by Chantal Simon (Author), Hazel Everitt (Author), Francoise van Dorp (Author), Nazia Hussain (Author), & 2 more


Basic & Applied Concepts of Blood Banking and Transfusion Practices 5th Edition

by Paula R. Howard MS MPH MT(ASCP)SBB (Author)


Grant's Atlas of Anatomy (Lippincott Connect) 15th Edition

by Anne M. R. Agur BSc (OT) MSc PhD (Author), Arthur F. Dalley II PhD FAAA (Author)


Biopsy Interpretation of the Lung (Biopsy Interpretation Series) 2nd Edition

by Saul Suster MD (Author), David Suster MD (Author)


The Clinical Practice of Neurological and Neurosurgical Nursing 8th Edition

by Joanne V. Hickey PhD RN APRN ACNP-BC F (Author)


Complete Guide to Respiratory Care in Athletes 1st Edition

by John W. Dickinson (Editor), James H. Hull (Editor)


General Radiography: Principles and Practices (Medical Imaging in Practice) 1st Edition

by Christopher M. Hayre (Editor), William A.S. Cox (Editor)


Acute Coronary Syndromes 1st Edition

by K Sarat Chandra (Editor), AJ Swamy (Editor)


Contemporary Fixed Prosthodontics 4th Edition

by Junhei Fujimoto DDS MSD DDSc (Author), Stephen F. Rosenstiel BDS MSD (Editor), Martin F. Land DDS MSD (Editor)