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 beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
[2022]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-7998-8455-2 https://doi.org/10.4018/978-1-7998-8455-2 https://doi.org/10.4018/978-1-7998-8455-2 https://doi.org/10.4018/978-1-7998-8455-2 https://doi.org/10.4018/978-1-7998-8455-2 https://doi.org/10.4018/978-1-7998-8455-2 https://doi.org/10.4018/978-1-7998-8455-2 |
| 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 |
| Umfang: | 1 Online-Ressource (394 Seiten) |
| ISBN: | 9781799884576 |
| DOI: | 10.4018/978-1-7998-8455-2 |
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| 500 | |a 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 | ||
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Datensatz im Suchindex
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| discipline | Informatik Medizin |
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| format | Electronic eBook |
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| id | DE-604.BV047813561 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:29:10Z |
| institution | BVB |
| isbn | 9781799884576 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033197013 |
| oclc_num | 1296345703 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-1050 DE-1049 DE-83 |
| owner_facet | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-1050 DE-1049 DE-83 |
| physical | 1 Online-Ressource (394 Seiten) |
| psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB FHR_PDA_IGB_Kauf ZDB-98-IGB TUB_EBS_IGB ZDB-98-IGB TUM_Paketkauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | IGI Global |
| record_format | marc |
| spellingShingle | Biomedical and business applications using artificial neural networks and machine learning Medicine Research Data processing Neural networks (Computer science) Maschinelles Lernen (DE-588)4193754-5 gnd Medizin (DE-588)4038243-6 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4038243-6 |
| 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_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) Maschinelles Lernen (DE-588)4193754-5 gnd Medizin (DE-588)4038243-6 gnd |
| topic_facet | Medicine Research Data processing Neural networks (Computer science) Maschinelles Lernen Medizin |
| url | https://doi.org/10.4018/978-1-7998-8455-2 |
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