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Computational Intelligence in Healthcare Informatics

  • Book
  • © 2024

Overview

Editors:
  1. D. P. Acharjya

    1. School of Computer Science and Engineering, Vellore Institute of Technology University, Vellore, India

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  2. Kun Ma

    1. School of Information Science and Engineering, University of Jinan, Jinan, China

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    You can also search for this editor in PubMed   Google Scholar

  • Presents advancements of computational intelligence in perception with healthcare applications
  • Covers concepts, theory and applications in various domain of healthcare systems
  • Serves as a reference for researchers and healthcare professionals

Part of the book series: Studies in Computational Intelligence (SCI, volume 1132)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxxiii
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  2. Theoretical Foundation of Computational Intelligence Techniques

    1. Front Matter

      Pages 1-1
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    2. Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking Toward the Diseases

      • S Spelmen Vimalraj, Porkodi Rajendran
      Pages 3-18

    3. Learning from Imbalanced Data in Healthcare: State-of-the-Art and Research Challenges

      • Debashis Roy, Anandarup Roy, Utpal Roy
      Pages 19-32

    4. A Review on Metaheuristic Approaches for Optimization Problems

      • Rasmita Rautray, Rasmita Dash, Rajashree Dash, Rakesh Chandra Balabantaray, Shanti Priya Parida
      Pages 33-55

    5. Diabetes Prediction: A Comparison Between Generalized Linear Model and Machine Learning

      • Sreekumar, Swati Das, Bikash Ranjan Debata, Rema Gopalan, Shakir Khan
      Pages 57-73

    6. Prediabetes Prediction Using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population

      • Raja Das, Shree G B Bakhya, Vijay Viswanathan, Radha Saraswathy, K. Madhusudhan Reddy
      Pages 75-91

    7. Localization and Classification of Brain Tumor Using Multi-layer Perceptron

      • Ajay Kumar, Yan Ma
      Pages 93-103

  3. Computational Intelligence in Analyzing Health Data

    1. Front Matter

      Pages 105-105
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    2. Information Retrieval from Healthcare Information System

      • Nimra Khan, Bushra Hamid, Mamoona Humayun, N. Z. Jhanjhi, Sidra Tahir
      Pages 107-125

    3. Association Rule Mining for Healthcare Data Analysis

      • Punyaban Patel, Borra Sivaiah, Riyam Patel, Ruplal Choudhary
      Pages 127-139

    4. Feature Selection and Classification of Microarray Cancer Information System: Review and Challenges

      • Bichitrananda Patra, Santosini Bhutia, Mitrabinda Ray
      Pages 141-156

    5. Early Detection of Osteoporosis and Osteopenia Disease Using Computational Intelligence Techniques

      • T. Ramesh, V. Santhi
      Pages 157-170

    6. Pathway to Detect Cancer Tumor by Genetic Mutation

      • Aniruddha Mohanty, Alok Ranjan Prusty, Daniel Dasig
      Pages 171-187

    7. A Knowledge Perception: Physician and Patient Toward Telehealth in COVID-19

      • Ritu Chauhan, Aparajita Sengupta
      Pages 189-203

  4. Computational Intelligence in Electronic Health Record

    1. Front Matter

      Pages 205-205
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    2. Classification of Cardiovascular Disease Information System Using Machine Learning Approaches

      • Subham Kumar Padhy, Anjali Mohapatra, Sabyasachi Patra
      Pages 207-220

    3. Automatic Edge Detection Model of MR Images Based on Deep Learning Approach

      • J. Mehena, S. Mishra
      Pages 221-231

    4. Lung Disease Classification Based on Lung Sounds—A Review

      • Vishnu Vardhan Battu, C. S. Khiran Kumar, M. Kalaiselvi Geetha
      Pages 233-250

    5. Analysis of Forecasting Models of Pandemic Outbreak for the Districts of Tamil Nadu

      • P. Iswarya, H. Sharan Prasad, Prabhujit Mohapatra
      Pages 251-259
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Keywords

About this book

The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.

Editors and Affiliations

  • School of Computer Science and Engineering, Vellore Institute of Technology University, Vellore, India

    D. P. Acharjya

  • School of Information Science and Engineering, University of Jinan, Jinan, China

    Kun Ma

About the editors

D. P. Acharjya received his Ph.D. in computer science from Berhampur University, India; M. Tech. degree in computer science from Utkal University, India; and M. Sc. from NIT, Rourkela, India. He has received a Gold Medal from NIT Rourkela. Currently, he is working as a professor in the School of Computer Science and Engineering, at VIT University, Vellore, India. He has authored more than 100 national and international journals, conference papers, and book chapters to his credit. He is acting as an editorial board member of various journals and reviewer of IEEE Fuzzy Sets and Systems, Applied Soft Computing (Elsevier), and Knowledge base Systems (Elsevier). He is associated with many professional bodies CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, IEEE, and IAENG. He was a founder secretary of OITS Rourkela chapter. His current research interests include rough sets, formal concept analysis, knowledge representation, data mining, granular computing, and business intelligence.


Kun Ma received his Ph.D. degree in Computer Software and Theory from Shandong University, Jinan, Shandong, China, in 2011. He is an associate professor in School of Information Science and Engineering, University of Jinan, China, and Shandong Provincial Key Laboratory for Network-Based Intelligent Computing. He has served as the program committee member of various international conferences and reviewer for various international journals. He is the co-editor-in-chief of International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM). He is the managing editor of Journal of Information Assurance and Security (JIAS). He is the editorial board member of International Journal of Grid and Utility Computing and International Journal of Intelligent Systems Design and Computing. His research interests include stream data processing, data intensive computing, and big data management. He has obtained 12 patents for inventions.

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