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Handbook of research on advancement ...

Sisodia, Dilip Singh, (1977-)

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Handbook of research on advancement of artificial intelligence in healthcare engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Handbook of research on advancement of artificial intelligence in healthcare engineering/ Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors.
其他作者:	Sisodia, Dilip Singh,
出版者:	Hershey, Pennsylvania :IGI Global, : 2020.,
面頁冊數:	1 online resource (xxvii, 420 p.)
內容註:	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.
標題:	Artificial intelligence. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2120-5
ISBN:	9781799821229 (ebk.)

Handbook of research on advancement of artificial intelligence in healthcare engineering
Handbook of research on advancement of artificial intelligence in healthcare engineering[electronic resource] /Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xxvii, 420 p.)

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"--

ISBN: 9781799821229 (ebk.)Subjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: R855.3 / .H36 2020

Dewey Class. No.: 610.285

Handbook of research on advancement of artificial intelligence in healthcare engineering
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245 0 0 $a Handbook of research on advancement of artificial intelligence in healthcare engineering $h [electronic resource] / $c Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 1 online resource (xxvii, 420 p.)
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.
650 0 $a Artificial intelligence. $3 516317
650 0 $a Medical informatics. $3 661258
650 0 $a Biomedical engineering.{09} $3 3510594
700 1 $a Sisodia, Dilip Singh, $d 1977- $3 3510591
700 1 $a Pachori, Ram Bilas, $d 1979- $3 3510592
700 1 $a Garg, Lalit, $d 1977- $3 3510593
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2120-5