Early detection of neurological disorders using machine learning systems:
"This book examines the role of machine learning systems in the detection of neurological disorders such as Alzheimer disease, Parkinson's disease, schizophrenia, and depression"--Provided by publisher.
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[c2019]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "This book examines the role of machine learning systems in the detection of neurological disorders such as Alzheimer disease, Parkinson's disease, schizophrenia, and depression"--Provided by publisher. |
| Physical Description: | 22 PDFs (xvi, 376 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781522585688 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Early detection of neurological disorders using machine learning systems |c Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [c2019] | |
| 300 | |a 22 PDFs (xvi, 376 Seiten) | ||
| 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. Mapping the intellectual structure of the field neurological disorders: a bibliometric analysis -- Chapter 2. Neurofeedback: retrain the brain -- Chapter 3. Neurological disorders, rehabilitation, and associated technologies: an overview -- Chapter 4. Brain tumor and its segmentation from brain MRI sequences -- Chapter 5. Early detection of Parkinson's disease: an intelligent diagnostic approach -- Chapter 6. Soft computing-based early detection of Parkinson's disease using non-invasive method based on speech analysis -- Chapter 7. Assessment of gait disorder in Parkinson's disease -- Chapter 8. Tremor identification using machine learning in Parkinson's disease -- Chapter 9. Epileptic seizure detection and classification using machine learning -- Chapter 10. Neurocognitive mechanisms for detecting early phase of depressive disorder: analysis of event-related potentials in human brain -- Chapter 11. Social media analytics to predict depression level in the users -- Chapter 12. Linguistic markers in individuals with symptoms of depression in bi-multilingual context -- Chapter 13. Motor imagery classification using EEG signals for brain-computer interface applications -- Chapter 14. Intelligent big data analytics in health -- Chapter 15. Medical image segmentation: an advanced approach. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book examines the role of machine learning systems in the detection of neurological disorders such as Alzheimer disease, Parkinson's disease, schizophrenia, and depression"--Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 06/08/2019). | |
| 650 | 0 | |a DIagnosis |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Nervous system |x Diseases |x Diagnosis. | |
| 650 | 1 | 2 | |a Nervous System Diseases |x diagnosis |
| 650 | 2 | 2 | |a Big Data |
| 650 | 2 | 2 | |a Diagnosis, Computer-Assisted |
| 650 | 2 | 2 | |a Machine Learning |
| 653 | |a Algorithms. | ||
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Biomedical Informatics. | ||
| 653 | |a Brain Mapping. | ||
| 653 | |a Computational Intelligence. | ||
| 653 | |a Data Analysis. | ||
| 653 | |a E-Learning. | ||
| 653 | |a Intelligent Systems. | ||
| 653 | |a Medical Imaging. | ||
| 653 | |a Signal Processing. | ||
| 700 | 1 | |a Bhattacharya, Pallab |d 1978- |e editor. | |
| 700 | 1 | |a Bit, Arindam |d 1985- |e editor. | |
| 700 | 1 | |a Paul, Sudip |d 1984- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| _version_ | 1826942596163829760 |
| adam_text | |
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| author2 | Bhattacharya, Pallab 1978- Bit, Arindam 1985- Paul, Sudip 1984- |
| author2_role | edt edt edt |
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| author_facet | Bhattacharya, Pallab 1978- Bit, Arindam 1985- Paul, Sudip 1984- |
| building | Verbundindex |
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| contents | Chapter 1. Mapping the intellectual structure of the field neurological disorders: a bibliometric analysis -- Chapter 2. Neurofeedback: retrain the brain -- Chapter 3. Neurological disorders, rehabilitation, and associated technologies: an overview -- Chapter 4. Brain tumor and its segmentation from brain MRI sequences -- Chapter 5. Early detection of Parkinson's disease: an intelligent diagnostic approach -- Chapter 6. Soft computing-based early detection of Parkinson's disease using non-invasive method based on speech analysis -- Chapter 7. Assessment of gait disorder in Parkinson's disease -- Chapter 8. Tremor identification using machine learning in Parkinson's disease -- Chapter 9. Epileptic seizure detection and classification using machine learning -- Chapter 10. Neurocognitive mechanisms for detecting early phase of depressive disorder: analysis of event-related potentials in human brain -- Chapter 11. Social media analytics to predict depression level in the users -- Chapter 12. Linguistic markers in individuals with symptoms of depression in bi-multilingual context -- Chapter 13. Motor imagery classification using EEG signals for brain-computer interface applications -- Chapter 14. Intelligent big data analytics in health -- Chapter 15. Medical image segmentation: an advanced approach. |
| ctrlnum | (CaBNVSL)slc20750841 (DNLM)101737854 (OCoLC)1104127944 |
| dewey-full | 616.8/0475 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.8/0475 |
| dewey-search | 616.8/0475 |
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| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00218302 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:31Z |
| institution | BVB |
| isbn | 9781522585688 |
| language | English |
| oclc_num | 1104127944 |
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| physical | 22 PDFs (xvi, 376 Seiten) Also available in print. |
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| publishDate | 2019 |
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| publisher | IGI Global |
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| spelling | Early detection of neurological disorders using machine learning systems Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [c2019] 22 PDFs (xvi, 376 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Mapping the intellectual structure of the field neurological disorders: a bibliometric analysis -- Chapter 2. Neurofeedback: retrain the brain -- Chapter 3. Neurological disorders, rehabilitation, and associated technologies: an overview -- Chapter 4. Brain tumor and its segmentation from brain MRI sequences -- Chapter 5. Early detection of Parkinson's disease: an intelligent diagnostic approach -- Chapter 6. Soft computing-based early detection of Parkinson's disease using non-invasive method based on speech analysis -- Chapter 7. Assessment of gait disorder in Parkinson's disease -- Chapter 8. Tremor identification using machine learning in Parkinson's disease -- Chapter 9. Epileptic seizure detection and classification using machine learning -- Chapter 10. Neurocognitive mechanisms for detecting early phase of depressive disorder: analysis of event-related potentials in human brain -- Chapter 11. Social media analytics to predict depression level in the users -- Chapter 12. Linguistic markers in individuals with symptoms of depression in bi-multilingual context -- Chapter 13. Motor imagery classification using EEG signals for brain-computer interface applications -- Chapter 14. Intelligent big data analytics in health -- Chapter 15. Medical image segmentation: an advanced approach. Restricted to subscribers or individual electronic text purchasers. "This book examines the role of machine learning systems in the detection of neurological disorders such as Alzheimer disease, Parkinson's disease, schizophrenia, and depression"--Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/08/2019). DIagnosis Data processing. Machine learning. Nervous system Diseases Diagnosis. Nervous System Diseases diagnosis Big Data Diagnosis, Computer-Assisted Machine Learning Algorithms. Artificial Intelligence. Biomedical Informatics. Brain Mapping. Computational Intelligence. Data Analysis. E-Learning. Intelligent Systems. Medical Imaging. Signal Processing. Bhattacharya, Pallab 1978- editor. Bit, Arindam 1985- editor. Paul, Sudip 1984- editor. IGI Global, publisher. (Original) (DLC)2018055807 Print version: 1522585672 9781522585671 (DLC) 2018055807 |
| spellingShingle | Early detection of neurological disorders using machine learning systems Chapter 1. Mapping the intellectual structure of the field neurological disorders: a bibliometric analysis -- Chapter 2. Neurofeedback: retrain the brain -- Chapter 3. Neurological disorders, rehabilitation, and associated technologies: an overview -- Chapter 4. Brain tumor and its segmentation from brain MRI sequences -- Chapter 5. Early detection of Parkinson's disease: an intelligent diagnostic approach -- Chapter 6. Soft computing-based early detection of Parkinson's disease using non-invasive method based on speech analysis -- Chapter 7. Assessment of gait disorder in Parkinson's disease -- Chapter 8. Tremor identification using machine learning in Parkinson's disease -- Chapter 9. Epileptic seizure detection and classification using machine learning -- Chapter 10. Neurocognitive mechanisms for detecting early phase of depressive disorder: analysis of event-related potentials in human brain -- Chapter 11. Social media analytics to predict depression level in the users -- Chapter 12. Linguistic markers in individuals with symptoms of depression in bi-multilingual context -- Chapter 13. Motor imagery classification using EEG signals for brain-computer interface applications -- Chapter 14. Intelligent big data analytics in health -- Chapter 15. Medical image segmentation: an advanced approach. DIagnosis Data processing. Machine learning. Nervous system Diseases Diagnosis. Nervous System Diseases diagnosis Big Data Diagnosis, Computer-Assisted Machine Learning |
| title | Early detection of neurological disorders using machine learning systems |
| title_auth | Early detection of neurological disorders using machine learning systems |
| title_exact_search | Early detection of neurological disorders using machine learning systems |
| title_full | Early detection of neurological disorders using machine learning systems Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. |
| title_fullStr | Early detection of neurological disorders using machine learning systems Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. |
| title_full_unstemmed | Early detection of neurological disorders using machine learning systems Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. |
| title_short | Early detection of neurological disorders using machine learning systems |
| title_sort | early detection of neurological disorders using machine learning systems |
| topic | DIagnosis Data processing. Machine learning. Nervous system Diseases Diagnosis. Nervous System Diseases diagnosis Big Data Diagnosis, Computer-Assisted Machine Learning |
| topic_facet | DIagnosis Data processing. Machine learning. Nervous system Diseases Diagnosis. Nervous System Diseases diagnosis Big Data Diagnosis, Computer-Assisted Machine Learning |
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