Predictive Intelligence in Biomedical and Health Informatics:
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...
Gespeichert in:
| Weitere beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2020]
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| Schriftenreihe: | Intelligent Biomedical Data Analysis
2 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1515/9783110676129 https://doi.org/10.1515/9783110676129 https://doi.org/10.1515/9783110676129 https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6370650 https://doi.org/10.1515/9783110676129?locatt=mode:legacy https://doi.org/10.1515/9783110676129 https://doi.org/10.1515/9783110676129 https://doi.org/10.1515/9783110676129 https://doi.org/10.1515/9783110676129 https://doi.org/10.1515/9783110676129 |
| Zusammenfassung: | 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 |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Okt 2020) |
| Umfang: | 1 online resource (XIV, 166 pages) |
| ISBN: | 9783110676129 |
| DOI: | 10.1515/9783110676129 |
Internformat
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| 520 | |a 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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Datensatz im Suchindex
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| discipline | Informatik |
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| indexdate | 2025-02-18T19:08:59Z |
| institution | BVB |
| isbn | 9783110676129 |
| language | English |
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| spelling | Predictive Intelligence in Biomedical and Health Informatics Rajshree Srivastava, Siddhartha Bhattacharyya, Ashish Khanna, Nhu Gia Nguyen Berlin ; Boston De Gruyter [2020] © 2020 1 online resource (XIV, 166 pages) txt rdacontent c rdamedia cr rdacarrier Intelligent Biomedical Data Analysis 2 Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Okt 2020) 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 In English Algorithmus Big Data Künstliche Intelligenz Maschinelles Lernen COMPUTERS / Social Aspects / General bisacsh (DE-588)4143413-4 Aufsatzsammlung gnd-content Bhattacharyya, Siddhartha edt Khanna, Ashish edt Nguyen, Nhu Gia edt Srivastava, Rajshree edt Erscheint auch als Druck-Ausgabe 9783110676082 https://doi.org/10.1515/9783110676129 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Predictive Intelligence in Biomedical and Health Informatics Algorithmus Big Data Künstliche Intelligenz Maschinelles Lernen COMPUTERS / Social Aspects / General bisacsh |
| subject_GND | (DE-588)4143413-4 |
| title | Predictive Intelligence in Biomedical and Health Informatics |
| title_auth | Predictive Intelligence in Biomedical and Health Informatics |
| title_exact_search | Predictive Intelligence in Biomedical and Health Informatics |
| title_full | Predictive Intelligence in Biomedical and Health Informatics Rajshree Srivastava, Siddhartha Bhattacharyya, Ashish Khanna, Nhu Gia Nguyen |
| title_fullStr | Predictive Intelligence in Biomedical and Health Informatics Rajshree Srivastava, Siddhartha Bhattacharyya, Ashish Khanna, Nhu Gia Nguyen |
| title_full_unstemmed | Predictive Intelligence in Biomedical and Health Informatics Rajshree Srivastava, Siddhartha Bhattacharyya, Ashish Khanna, Nhu Gia Nguyen |
| title_short | Predictive Intelligence in Biomedical and Health Informatics |
| title_sort | predictive intelligence in biomedical and health informatics |
| topic | Algorithmus Big Data Künstliche Intelligenz Maschinelles Lernen COMPUTERS / Social Aspects / General bisacsh |
| topic_facet | Algorithmus Big Data Künstliche Intelligenz Maschinelles Lernen COMPUTERS / Social Aspects / General Aufsatzsammlung |
| url | https://doi.org/10.1515/9783110676129 |
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