Computational intelligence and healthcare informatics
COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. W…
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- Full title :Computational intelligence and healthcare informatics / edited by Om Prakash Jena, Alok Ranjan Tripathy, Ahmed A. Elngar, Zdzislaw Polkowski.
Summary
COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.
Read More ↓Edition Statements
- Publication Date:2021.
Publication Statements
- Publisher(s):Scrivener Publishing, Wiley
- Place of Publication:Hoboken, NJ
- Language:eng
- Publication Date:2021.
The Physical Object
- Description:1 online resource
Edition Identifiers
- ISBN:9781119818717, 1119818710, 9781119818700, 1119818702, 1119818699, 9781119818694
- DOI:10.1002/9781119818717
- oclc:on1284999743
- LC Classification:R859.7.A78
- Dewey Decimal:610.28563
Table of Contents
Front Matter -- Introduction. Machine Learning and Big Data: An Approach Toward Better Healthcare Services / Nahid Sami, Asfia Aziz -- Medical Data Processing and Analysis. Thoracic Image Analysis Using Deep Learning / Rakhi Wajgi, Jitendra V Tembhurne, Dipak Wajgi -- Feature Selection and Machine Learning Models for High-Dimensional Data: State-of-the-Art / G Manikandan, S Abirami -- A Smart Web Application for Symptom-Based Disease Detection and Prediction Using State-of-the-Art ML and ANN Models / Parvej Reja Saleh, Eeshankur Saikia -- Classification of Heart Sound Signals Using Time-Frequency Image Texture Features / Sujata Vyas, Mukesh D Patil, Gajanan K Birajdar -- Improving Multi-Label Classification in Prototype Selection Scenario / Himanshu Suyal, Avtar Singh -- A Machine Learning-Based Intelligent Computational Framework for the Prediction of Diabetes Disease / Maqsood Hayat, Yar Muhammad, Muhammad Tahir -- Hyperparameter Tuning of Ensemble Classifiers Using Grid Search and Random Search for Prediction of Heart Disease / Fathima M Dhilsath, S Justin Samuel -- Computational Intelligence and Healthcare Informatics Part III-Recent Development and Advanced Methodologies / Sa…
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