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Computational intelligence in healthcare informatics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence in healthcare informatics/ edited by D. P. Acharjya, Kun Ma.
other author:	Acharjya, D. P.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xxxiii, 388 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Medical informatics. -
Online resource:	https://doi.org/10.1007/978-981-99-8853-2
ISBN:	9789819988532

Computational intelligence in healthcare informatics
Computational intelligence in healthcare informatics[electronic resource] /edited by D. P. Acharjya, Kun Ma. - Singapore :Springer Nature Singapore :2024. - xxxiii, 388 p. :ill. (chiefly col.), digital ;24 cm. - Studies in computational intelligence,v. 11321860-9503 ;. - Studies in computational intelligence ;v. 1132..

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.

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.

ISBN: 9789819988532

Standard No.: 10.1007/978-981-99-8853-2doiSubjects--Topical Terms:

661258
Medical informatics.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.285

Computational intelligence in healthcare informatics
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245 0 0 $a Computational intelligence in healthcare informatics $h [electronic resource] / $c edited by D. P. Acharjya, Kun Ma.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xxxiii, 388 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1132
505 0 $a 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.
520 $a 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.
650 0 $a Medical informatics. $3 661258
650 0 $a Computational intelligence. $3 595739
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Acharjya, D. P. $3 3713518
700 1 $a Ma, Kun. $3 2182958
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 1132. $3 3713519
856 4 0 $u https://doi.org/10.1007/978-981-99-8853-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)