Handbook of research on advancement of artificial intelligence in healthcare engineering:
"This book explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of challenging healthcare engineering solutions"--
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of challenging healthcare engineering solutions"-- |
| Beschreibung: | 28 PDFs (420 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799821229 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Handbook of research on advancement of artificial intelligence in healthcare engineering |c Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 28 PDFs (420 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Automated seizure classification using deep neural network based on autoencoder -- Chapter 2. Automated detection of brain abnormalities using multi-directional features and randomized learning: a comparative study -- Chapter 3. A novel artificial intelligence technique for analysis of real-time electro-cardiogram signal for the prediction of early cardiac ailment onset -- Chapter 4. Epileptic seizure detection from EEG signals using bagged ensemble approach -- Chapter 5. Classification of epileptic seizure in EEG signal using support vector machine and EMD -- Chapter 6. Design of healthcare assistant using EEG signals for stress -- Chapter 7. Application of deep learning for EEG -- Chapter 8. AI-driven prognosis and diagnosis for personalized healthcare services: a predictive analytic perspective -- Chapter 9. A hybrid approach for 3D lung segmentation in CT images using active contour and morphological operation -- Chapter 10. Evolutionary intelligence-based feature descriptor selection for efficient identification of anti-cancer peptides -- Chapter 11. Optimizing the performance of devanagari script-based p300 speller system using binary PSO algorithm -- Chapter 12. Three channel wavelet filter banks with minimal time frequency spread for classification of seizure-free and seizure EEG signals -- Chapter 13. Recent studies and research on sickle cell disease: statistical analysis and machine learning approach -- Chapter 14. Heart sound data acquisition and preprocessing techniques: a review -- Chapter 15. Exhibiting app and analysis for biofeedback-based mental health analyzer -- Chapter 16. Computational approach for personality detection on attributes: an IoT-MMBD-enabled environment -- Chapter 17. Tension type headache: IOT and FOG applications in healthcare using different biofeedback -- Chapter 18. NLP for clinical data analysis: handling the unstructured clinical information. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of challenging healthcare engineering solutions"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 03/19/2020). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Medical informatics. | |
| 650 | 1 | 2 | |a Artificial Intelligence. |
| 650 | 1 | 2 | |a Delivery of Health Care. |
| 650 | 2 | 2 | |a Biomedical Technology. |
| 700 | 1 | |a Garg, Lalit |d 1977- |e editor. | |
| 700 | 1 | |a Pachori, Ram Bilas |d 1979- |e editor. | |
| 700 | 1 | |a Sisodia, Dilip Singh |d 1977- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019036395 | |
| 776 | 0 | 8 | |i Print version: |z 179982120X |z 9781799821205 |w (DLC) 2019036395 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2120-5 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00235693 |
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| author2 | Garg, Lalit 1977- Pachori, Ram Bilas 1979- Sisodia, Dilip Singh 1977- |
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| author_facet | Garg, Lalit 1977- Pachori, Ram Bilas 1979- Sisodia, Dilip Singh 1977- |
| building | Verbundindex |
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| callnumber-first | R - Medicine |
| callnumber-label | R855 |
| callnumber-raw | R855.3 .H36 2020e |
| callnumber-search | R855.3 .H36 2020e |
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| callnumber-subject | R - General Medicine |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Automated seizure classification using deep neural network based on autoencoder -- Chapter 2. Automated detection of brain abnormalities using multi-directional features and randomized learning: a comparative study -- Chapter 3. A novel artificial intelligence technique for analysis of real-time electro-cardiogram signal for the prediction of early cardiac ailment onset -- Chapter 4. Epileptic seizure detection from EEG signals using bagged ensemble approach -- Chapter 5. Classification of epileptic seizure in EEG signal using support vector machine and EMD -- Chapter 6. Design of healthcare assistant using EEG signals for stress -- Chapter 7. Application of deep learning for EEG -- Chapter 8. AI-driven prognosis and diagnosis for personalized healthcare services: a predictive analytic perspective -- Chapter 9. A hybrid approach for 3D lung segmentation in CT images using active contour and morphological operation -- Chapter 10. Evolutionary intelligence-based feature descriptor selection for efficient identification of anti-cancer peptides -- Chapter 11. Optimizing the performance of devanagari script-based p300 speller system using binary PSO algorithm -- Chapter 12. Three channel wavelet filter banks with minimal time frequency spread for classification of seizure-free and seizure EEG signals -- Chapter 13. Recent studies and research on sickle cell disease: statistical analysis and machine learning approach -- Chapter 14. Heart sound data acquisition and preprocessing techniques: a review -- Chapter 15. Exhibiting app and analysis for biofeedback-based mental health analyzer -- Chapter 16. Computational approach for personality detection on attributes: an IoT-MMBD-enabled environment -- Chapter 17. Tension type headache: IOT and FOG applications in healthcare using different biofeedback -- Chapter 18. NLP for clinical data analysis: handling the unstructured clinical information. |
| ctrlnum | (CaBNVSL)slc00000354 (OCoLC)1114280844 |
| dewey-full | 610.285 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 610 - Medicine and health |
| dewey-raw | 610.285 |
| dewey-search | 610.285 |
| dewey-sort | 3610.285 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00235693 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:56Z |
| institution | BVB |
| isbn | 9781799821229 |
| language | English |
| oclc_num | 1114280844 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 28 PDFs (420 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Handbook of research on advancement of artificial intelligence in healthcare engineering Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 28 PDFs (420 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Automated seizure classification using deep neural network based on autoencoder -- Chapter 2. Automated detection of brain abnormalities using multi-directional features and randomized learning: a comparative study -- Chapter 3. A novel artificial intelligence technique for analysis of real-time electro-cardiogram signal for the prediction of early cardiac ailment onset -- Chapter 4. Epileptic seizure detection from EEG signals using bagged ensemble approach -- Chapter 5. Classification of epileptic seizure in EEG signal using support vector machine and EMD -- Chapter 6. Design of healthcare assistant using EEG signals for stress -- Chapter 7. Application of deep learning for EEG -- Chapter 8. AI-driven prognosis and diagnosis for personalized healthcare services: a predictive analytic perspective -- Chapter 9. A hybrid approach for 3D lung segmentation in CT images using active contour and morphological operation -- Chapter 10. Evolutionary intelligence-based feature descriptor selection for efficient identification of anti-cancer peptides -- Chapter 11. Optimizing the performance of devanagari script-based p300 speller system using binary PSO algorithm -- Chapter 12. Three channel wavelet filter banks with minimal time frequency spread for classification of seizure-free and seizure EEG signals -- Chapter 13. Recent studies and research on sickle cell disease: statistical analysis and machine learning approach -- Chapter 14. Heart sound data acquisition and preprocessing techniques: a review -- Chapter 15. Exhibiting app and analysis for biofeedback-based mental health analyzer -- Chapter 16. Computational approach for personality detection on attributes: an IoT-MMBD-enabled environment -- Chapter 17. Tension type headache: IOT and FOG applications in healthcare using different biofeedback -- Chapter 18. NLP for clinical data analysis: handling the unstructured clinical information. Restricted to subscribers or individual electronic text purchasers. "This book explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of challenging healthcare engineering solutions"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/19/2020). Artificial intelligence. Biomedical engineering. Medical informatics. Artificial Intelligence. Delivery of Health Care. Biomedical Technology. Garg, Lalit 1977- editor. Pachori, Ram Bilas 1979- editor. Sisodia, Dilip Singh 1977- editor. IGI Global, publisher. (Original) (DLC)2019036395 Print version: 179982120X 9781799821205 (DLC) 2019036395 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2120-5 Volltext |
| spellingShingle | Handbook of research on advancement of artificial intelligence in healthcare engineering Chapter 1. Automated seizure classification using deep neural network based on autoencoder -- Chapter 2. Automated detection of brain abnormalities using multi-directional features and randomized learning: a comparative study -- Chapter 3. A novel artificial intelligence technique for analysis of real-time electro-cardiogram signal for the prediction of early cardiac ailment onset -- Chapter 4. Epileptic seizure detection from EEG signals using bagged ensemble approach -- Chapter 5. Classification of epileptic seizure in EEG signal using support vector machine and EMD -- Chapter 6. Design of healthcare assistant using EEG signals for stress -- Chapter 7. Application of deep learning for EEG -- Chapter 8. AI-driven prognosis and diagnosis for personalized healthcare services: a predictive analytic perspective -- Chapter 9. A hybrid approach for 3D lung segmentation in CT images using active contour and morphological operation -- Chapter 10. Evolutionary intelligence-based feature descriptor selection for efficient identification of anti-cancer peptides -- Chapter 11. Optimizing the performance of devanagari script-based p300 speller system using binary PSO algorithm -- Chapter 12. Three channel wavelet filter banks with minimal time frequency spread for classification of seizure-free and seizure EEG signals -- Chapter 13. Recent studies and research on sickle cell disease: statistical analysis and machine learning approach -- Chapter 14. Heart sound data acquisition and preprocessing techniques: a review -- Chapter 15. Exhibiting app and analysis for biofeedback-based mental health analyzer -- Chapter 16. Computational approach for personality detection on attributes: an IoT-MMBD-enabled environment -- Chapter 17. Tension type headache: IOT and FOG applications in healthcare using different biofeedback -- Chapter 18. NLP for clinical data analysis: handling the unstructured clinical information. Artificial intelligence. Biomedical engineering. Medical informatics. Artificial Intelligence. Delivery of Health Care. Biomedical Technology. |
| title | Handbook of research on advancement of artificial intelligence in healthcare engineering |
| title_auth | Handbook of research on advancement of artificial intelligence in healthcare engineering |
| title_exact_search | Handbook of research on advancement of artificial intelligence in healthcare engineering |
| title_full | Handbook of research on advancement of artificial intelligence in healthcare engineering Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors. |
| title_fullStr | Handbook of research on advancement of artificial intelligence in healthcare engineering Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors. |
| title_full_unstemmed | Handbook of research on advancement of artificial intelligence in healthcare engineering Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors. |
| title_short | Handbook of research on advancement of artificial intelligence in healthcare engineering |
| title_sort | handbook of research on advancement of artificial intelligence in healthcare engineering |
| topic | Artificial intelligence. Biomedical engineering. Medical informatics. Artificial Intelligence. Delivery of Health Care. Biomedical Technology. |
| topic_facet | Artificial intelligence. Biomedical engineering. Medical informatics. Artificial Intelligence. Delivery of Health Care. Biomedical Technology. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2120-5 |
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