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Handbook of decision support systems for neurological disorders /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Jude, Hemanth D.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, 2021.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Handbook of decision support systems for neurological disorders /  |c edited by Hemanth D. Jude. 
264 1 |a London :  |b Academic Press,  |c 2021. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
505 0 |a 1.A review of deep learning-based disease detection in Alzheimer's patients; 2. Brain tissue segmentation to detect schizophrenia in gray matter using MR images; 3. Detection of small tumors of the brain using medical imaging; 4. Fuzzy logic-based hybrid knowledge systems for the detection and diagnosis of childhood autism; 5. Artificial intelligence for risk prediction of Alzheimer's disease: a new promise for community health screening in the; older aged; 6. Cost-effective assistive device for motor neuron disease; 7. EEG signal-based human emotion detection using an artificial neural network; 8. Multiview decision tree-based segmentation of tumors in MR brain medical images; 9. Multiclass SVM coupled with optimization techniques for; segmentation and classification of medical images; 10. Brain tissues segmentation in magnetic resonance imaging for the diagnosis of brain disorders using a convolutional neural network; 11. Fine motor skills and cognitive development using virtual reality-based games in children; 12. A CAD software application as a decision support system for ischemic stroke detection in the posterior fossa; 13. Optimization-based multilevel threshold image segmentation for identifying ischemic stroke lesion in brain MR images; 14. A study of machine learning algorithms used for detecting cognitive disorders associated with dyslexia; 15. A Critical Analysis and Review of Assistive Technology: Advancements, Laws, and Impact on Improving the Rehabilitation of Dysarthric Patients; 16. A comparative study on the application of machine learning; algorithms for neurodegenerative disease prediction 
650 0 |a Nervous system  |x Diseases  |x Diagnosis. 
650 0 |a Neurology  |x Decision making. 
650 6 |a Syst�eme nerveux  |x Maladies  |x Diagnostic.  |0 (CaQQLa)201-0062575 
650 6 |a Neurologie  |0 (CaQQLa)201-0010247  |x Prise de d�ecision.  |0 (CaQQLa)201-0378922 
650 7 |a Nervous system  |x Diseases  |x Diagnosis  |2 fast  |0 (OCoLC)fst01036103 
650 7 |a Neurology  |x Decision making  |2 fast  |0 (OCoLC)fst01036393 
655 2 |a Handbook  |0 (DNLM)D020479 
655 7 |a handbooks.  |2 aat  |0 (CStmoGRI)aatgf300311807 
655 7 |a Handbooks and manuals  |2 fast  |0 (OCoLC)fst01423877 
655 7 |a Handbooks and manuals.  |2 lcgft 
655 7 |a Guides et manuels.  |2 rvmgf  |0 (CaQQLa)RVMGF-000001065 
700 1 |a Jude, Hemanth D. 
776 0 8 |i Print version:  |t Handbook on decision support systems for neurological disorders.  |d London : Academic Press, 2021  |z 0128222719  |z 9780128222713  |w (OCoLC)1204141382 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128222713  |z Texto completo