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Predictive Intelligence in Biomedical and Health Informatics / ed. by Rajshree Srivastava, Siddhartha Bhattacharyya, Ashish Khanna, Nhu Gia Nguyen.

Contributor(s): Barpanda, Soubhagya Sankar [contributor.] | Bharti, Vishal [contributor.] | Bhattacharyya, Siddhartha [editor.] | Chandra, Harish [contributor.] | Choudhari, Pruthviraj [contributor.] | Jain, Sweta [contributor.] | Kaur, Prabhsimar [contributor.] | Kesavaraja, D [contributor.] | Khanna, Ashish [editor.] | Kumari, D [contributor.] | Kumari, K. H. Vijaya [contributor.] | Madhav, N. V. Satheesh [contributor.] | Maji, Srabanti [contributor.] | Nguyen, Nhu Gia [editor.] | Paliwal, Shweta [contributor.] | Porkodi, S [contributor.] | Rehman, Faisal [contributor.] | Santosh, N. Krishna [contributor.] | Singh, Siddharth [contributor.] | Singh, Usha [contributor.] | Srivastava, Rajshree [editor.] | Visht, Sharad [contributor.].
Material type: materialTypeLabelBookSeries: Intelligent Biomedical Data Analysis , 2.Publisher: Berlin ; Boston : De Gruyter, [2020]Copyright date: ©2020Description: 1 online resource (XIV, 166 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110676129.Subject(s): Algorithmus | Big Data | Künstliche Intelligenz | Maschinelles Lernen | COMPUTERS / Social Aspects / GeneralAdditional physical formats: No title; No titleOther classification: ST 640 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.
Contents:
Frontmatter -- Preface -- Contents -- List of contributors -- 1. Smart connected devices reforming the healthcare sector -- 2. An ample review on brain image classification for Alzheimer's disease -- 3. Innovations in biological applications with machine learning -- 4. Wavelet applications in medical image processing -- 5. Nanomedicine strategies: a precise therapeutic approach for disease -- 6. Optimal placement of body node coordinator in wireless body area network using genetic algorithm -- 7. Drug discovery -- 8. Smart health care service evolution with Internet of things -- Index
Title is part of eBook package:DG Ebook Package English 2020Title is part of eBook package:DG Plus DeG Package 2020 Part 1Title is part of eBook package:EBOOK PACKAGE COMPLETE 2020 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2020Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2020 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2020Summary: Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
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Frontmatter -- Preface -- Contents -- List of contributors -- 1. Smart connected devices reforming the healthcare sector -- 2. An ample review on brain image classification for Alzheimer's disease -- 3. Innovations in biological applications with machine learning -- 4. Wavelet applications in medical image processing -- 5. Nanomedicine strategies: a precise therapeutic approach for disease -- 6. Optimal placement of body node coordinator in wireless body area network using genetic algorithm -- 7. Drug discovery -- 8. Smart health care service evolution with Internet of things -- Index

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http://purl.org/coar/access_right/c_16ec

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)

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