Verkauf durch Sack Fachmedien

Mishra / Suseendran / Phung

Soft Computing Applications and Techniques in Healthcare

Medium: Buch
ISBN: 978-0-367-42387-2
Verlag: Taylor & Francis Ltd (Sales)
Erscheinungstermin: 25.09.2020
Lieferfrist: bis zu 10 Tage

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a useful guide to identify, categorise and assess the role of different soft computing techniques for disease, diagnosis and prediction due to technological advancements.

The book explores applications in soft computing and covers empirical properties of artificial neural network (ANN), evolutionary computing, fuzzy logic and statistical techniques. It presents basic and advanced concepts to help beginners and industry professionals get up to speed on the latest developments in soft computing and healthcare systems. It incorporates the latest methodologies and challenges facing soft computing, examines descriptive, predictive and social network techniques and discusses analytics tools and their role in providing effective solutions for science and technology.

The primary users for the book include researchers, academicians, postgraduate students, specialists and practitioners.



Dr. Ashish Mishra is a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur, Madhya Pradesh, India. He has contributed in organising the INSPIRE Science Internship Camp. He is a member of the Institute of Electrical and Electronics Engineers and is a life member of the Computer Society of India. His research interests include the Internet of Things, data mining, cloud computing, image processing and knowledge-based systems. He holds nine patents in Intellectual Property, India. He has authored four books in the areas of data mining, image processing and LaTex.

Dr. G. Suseendran is an assistant professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. His research interests include ad-hoc networks, the Internet of Things, data mining, cloud computing, image processing, knowledge-based systems, and Web information exploration. He has published more than 75 research papers in various international journals such as Science Citation Index, Springer Book Chapter, Scopus, IEEE Access and UGC-referred journals.

Prof. Trung-Nghia Phung is an associate professor and Head of Academic Affairs, Thai Nguyen University of Information and Communication Technology (ICTU). He has published more than 60 research papers. His main research interest lies in the field of speech, audio, and biomedical signal processing. He serves as a technical committee program member, track chair, session chair, and reviewer of many international conferences and journals. He was a co-Chair of the International Conference on Advances in Information and Communication Technology 2016 (ICTA 2016) and a Session Chair of the 4th International Conference on Information System Design and Intelligent Applications (INDIA 2017).


Produkteigenschaften


  • Artikelnummer: 9780367423872
  • Medium: Buch
  • ISBN: 978-0-367-42387-2
  • Verlag: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 25.09.2020
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2020
  • Serie: Information Technology, Management and Operations Research Practices
  • Produktform: Gebunden
  • Gewicht: 522 g
  • Seiten: 276
  • Format (B x H x T): 155 x 239 x 20 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Chapter 1 Analytical Approach to Genetics of Cancer Therapeutics

through Machine Learning. 1

Ritu Shukla, Mansi Gyanchandani, Rahul Sahu and Priyank Jain

Chapter 2 A Study on Behaviour of Neural Gas on Images and Artificial

Neural Network in Healthcare. 11

Rahul Sahu, Ashish Mishra and G. Suseendran

Chapter 3 A New Approach for Parkinson’s Disease Imaging Diagnosis

Using Digitized Spiral Drawing. 35

Megha Kamble and Pranshu Patel

Chapter 4 Modelling and Analysis for Cancer Model with Caputo

to Atangana-Baleanu Derivative. 57

Ashish Mishra, Jyoti Mishra and Vijay Gupta

Chapter 5 Selection of Hospital Using Integrated Fuzzy AHP

and Fuzzy TOPSIS Method. 71

Vikas Shinde and Santosh K. Bharadwaj

Chapter 6 Computation of Threshold Rate for the Spread of HIV

in a Mobile Heterosexual Population and Its Implication

for SIR Model in Healthcare. 97

Suresh Rasappan and Regan Murugesan

Chapter 7 Application of Soft Computing Techniques to Heart Sound

Classification: A Review of the Decade. 113

Babita Majhi and Aarti Kashyap

Chapter 8 Fuzzy Systems in Medicine and Healthcare: Need,

Challenges and Applications. 139

Deepak K. Sharma, Sakshi and Kartik Singhal

Chapter 9 Appliance of Machine Learning Algorithms in Prudent Clinical

Decision-Making Systems in the Healthcare Industry. 163

T. Venkat Narayana Rao and G. Akhila

Chapter 10 Technique of Receiving Data from Medical Devices

to Create Electronic Medical Records Database. 185

Vu Duy Hai

Chapter 11 Universal Health Database in India: Emergence, Feasibility

and Multiplier Effects. 215

Arindam Chakrabarty and Uday Sankar Das

Chapter 12 Cluster Analysis of Breast Cancer Data Using

Modified BP-RBFN. 235

Viswanathan Sangeetha, Jayavel Preethi,

Raghunathan Krishankumar,

Kattur S. Ravichandran

and Ramachandran Manikandan