1881681173     

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

Acharjya, D. P. [Herausgeberin/-geber] ; Ma, Kun [Herausgeberin/-geber]

1st ed. 2024.

Singapore : Springer Nature Singapore [2024.] ; Singapore : Imprint: Springer [2024.], 2024

1 Online-Ressource(XXXIII, 388 p. 160 illus., 117 illus. in color.)

Englisch

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

Erscheint auch als: (Druck-Ausgabe)

978-981-99-8853-2

978-981-99-8852-5 (ISBN der Printausgabe); 978-981-99-8854-9 (ISBN der Printausgabe); 978-981-99-8855-6 (ISBN der Printausgabe)

Elektronische Ressource: Zugang über Resolving-System (Lizenzangabe: Lizenzpflichtig)

Digital Object Identifier (DOI): 10.1007/978-981-99-8853-2

006.3     Ähnliche Literatur

bicssc: UYQ ; bisacsh: TEC009000

LOC-SH: Computational intelligence. ; Medical informatics. ; Artificial intelligence.

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.

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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.