Biomedical and business applications using artificial neural networks and machine learning:
"This book covers applications of artificial neural networks (ANN) and machine learning (ML) aspects of artificial intelligence to applications to the biomedical and business world including their interface to applications for screening for diseases to applications to large-scale credit card pu...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
[2022]
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-1049 DE-83 DE-91 DE-706 URL des Erstveröffentlichers |
| Zusammenfassung: | "This book covers applications of artificial neural networks (ANN) and machine learning (ML) aspects of artificial intelligence to applications to the biomedical and business world including their interface to applications for screening for diseases to applications to large-scale credit card purchasing patterns. |
| Beschreibung: | Includes bibliographical references and index Section 1. Introduction. Chapter 1. Overview of multi-factor prediction using deep neural networks, machine learning, and their open-source software -- Section 2. Biomedical applications. Chapter 2. Survey of applications of neural networks and machine learning to COVID-19 predictions ; Chapter 3. Comparing deep neural networks and gradient boosting for pneumonia detection using chest x-rays ; Chapter 4. Cardiovascular applications of artificial intelligence in research, diagnosis, and disease management ; Chapter 5. Predictions for COVID-19 with deep learning models of long short-term memory (LSTM) ; Chapter 6. Protein-protein interactions (PPI) via deep neural network (DNN) ; Chapter 7. US medical expense analysis through frequency and severity bootstrapping and regression model -- Section 3. Business applications. Chapter 8. Airbnb (air bed and breakfast) listing analysis through machine learning techniques ; Chapter 9. Automobile fatal accident and insurance claim analysis through artificial neural network ; Chapter 10. U.S. unemployment rate prediction by economic indices in the COVID-19 pandemic using neural network, random forest, and generalized linear regression ; Chapter 11. Applying machine learning methods for credit card payment default prediction with cost savings ; Chapter 12. Inflation rate modelling through a hybrid model of seasonal autoregressive moving average and multilayer perceptron neural network ; Chapter 13. Value analysis and prediction through machine learning techniques for popular basketball brands. - Mode of access: World Wide Web |
| Beschreibung: | 1 Online-Ressource (394 Seiten) |
| ISBN: | 9781799884576 |
| DOI: | 10.4018/978-1-7998-8455-2 |
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Datensatz im Suchindex
| _version_ | 1805079032082989056 |
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| adam_txt | |
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| author2 | Niu, Gao Segall, Richard S. 1949- |
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| discipline | Informatik Medizin |
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| id | DE-604.BV047813561 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:05:55Z |
| indexdate | 2024-07-20T06:38:31Z |
| institution | BVB |
| isbn | 9781799884576 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033197013 |
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| publisher | IGI Global |
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| spelling | Biomedical and business applications using artificial neural networks and machine learning Richard S. Segall and Gao Niu, editor Hershey, Pennsylvania IGI Global [2022] 1 Online-Ressource (394 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Section 1. Introduction. Chapter 1. Overview of multi-factor prediction using deep neural networks, machine learning, and their open-source software -- Section 2. Biomedical applications. Chapter 2. Survey of applications of neural networks and machine learning to COVID-19 predictions ; Chapter 3. Comparing deep neural networks and gradient boosting for pneumonia detection using chest x-rays ; Chapter 4. Cardiovascular applications of artificial intelligence in research, diagnosis, and disease management ; Chapter 5. Predictions for COVID-19 with deep learning models of long short-term memory (LSTM) ; Chapter 6. Protein-protein interactions (PPI) via deep neural network (DNN) ; Chapter 7. US medical expense analysis through frequency and severity bootstrapping and regression model -- Section 3. Business applications. Chapter 8. Airbnb (air bed and breakfast) listing analysis through machine learning techniques ; Chapter 9. Automobile fatal accident and insurance claim analysis through artificial neural network ; Chapter 10. U.S. unemployment rate prediction by economic indices in the COVID-19 pandemic using neural network, random forest, and generalized linear regression ; Chapter 11. Applying machine learning methods for credit card payment default prediction with cost savings ; Chapter 12. Inflation rate modelling through a hybrid model of seasonal autoregressive moving average and multilayer perceptron neural network ; Chapter 13. Value analysis and prediction through machine learning techniques for popular basketball brands. - Mode of access: World Wide Web "This book covers applications of artificial neural networks (ANN) and machine learning (ML) aspects of artificial intelligence to applications to the biomedical and business world including their interface to applications for screening for diseases to applications to large-scale credit card purchasing patterns. Medicine Research Data processing Neural networks (Computer science) Medizin (DE-588)4038243-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Medizin (DE-588)4038243-6 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Niu, Gao (DE-588)120416360X edt Segall, Richard S. 1949- (DE-588)1079222448 edt IGI Global Sonstige oth Erscheint auch als Druck-Ausgabe 1799884570 Erscheint auch als Druck-Ausgabe 978-1-7998-8455-2 Erscheint auch als Druck-Ausgabe 1799884554 https://doi.org/10.4018/978-1-7998-8455-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Biomedical and business applications using artificial neural networks and machine learning Medicine Research Data processing Neural networks (Computer science) Medizin (DE-588)4038243-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4038243-6 (DE-588)4193754-5 |
| title | Biomedical and business applications using artificial neural networks and machine learning |
| title_auth | Biomedical and business applications using artificial neural networks and machine learning |
| title_exact_search | Biomedical and business applications using artificial neural networks and machine learning |
| title_exact_search_txtP | Biomedical and business applications using artificial neural networks and machine learning |
| title_full | Biomedical and business applications using artificial neural networks and machine learning Richard S. Segall and Gao Niu, editor |
| title_fullStr | Biomedical and business applications using artificial neural networks and machine learning Richard S. Segall and Gao Niu, editor |
| title_full_unstemmed | Biomedical and business applications using artificial neural networks and machine learning Richard S. Segall and Gao Niu, editor |
| title_short | Biomedical and business applications using artificial neural networks and machine learning |
| title_sort | biomedical and business applications using artificial neural networks and machine learning |
| topic | Medicine Research Data processing Neural networks (Computer science) Medizin (DE-588)4038243-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Medicine Research Data processing Neural networks (Computer science) Medizin Maschinelles Lernen |
| url | https://doi.org/10.4018/978-1-7998-8455-2 |
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