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Computational Intelligence in Healthcare Informatics / edited by D. P. Acharjya, Kun Ma.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Contributor:
Acharjya, D. P., editor.
Ma, Kun, editor.
Series:
Studies in Computational Intelligence, 1860-9503 ; 1132
Language:
English
Subjects (All):
Computational intelligence.
Medical informatics.
Artificial intelligence.
Computational Intelligence.
Health Informatics.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Health Informatics.
Artificial Intelligence.
Physical Description:
1 online resource (401 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
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.
Contents:
Refining Metabolic Network by Fuzzy Matching of Metabolite Names for Improving Metabolites Ranking towards the Diseases
Learning from Imbalanced Data in Healthcare: State-of-the-art and Research Challenges
A Review on Metaheuristic Approaches for Optimization Problems
Diabetes Prediction: A Comparison between Generalised Linear Model and Machine Learning
Prediabetes Prediction using Response Surface Methodology and Probabilistic Neural Networks Model in an Ethnic South Indian Population.
Notes:
Includes bibliographical references and index.
ISBN:
981-9988-53-5

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