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OCoLC |
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20231120010537.0 |
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210402s2021 enk of 001 0 eng d |
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|a YDX
|b eng
|e pn
|c YDX
|d OPELS
|d OCLCO
|d OCLCF
|d NLW
|d UKMGB
|d OCLCQ
|d COM
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|a GBC1D0232
|2 bnb
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|a 020185472
|2 Uk
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|a 9780128222720
|q (electronic bk.)
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|a 0128222727
|q (electronic bk.)
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|z 9780128222713
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|z 0128222719
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|a (OCoLC)1244535213
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|a RC346
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|a TEC
|x 059000
|2 bisacsh
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|a 616.8
|2 23
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|a Handbook of decision support systems for neurological disorders /
|c edited by Hemanth D. Jude.
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264 |
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1 |
|a London :
|b Academic Press,
|c 2021.
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes index.
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|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
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650 |
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|a Nervous system
|x Diseases
|x Diagnosis.
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650 |
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0 |
|a Neurology
|x Decision making.
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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
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650 |
|
7 |
|a Nervous system
|x Diseases
|x Diagnosis
|2 fast
|0 (OCoLC)fst01036103
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650 |
|
7 |
|a Neurology
|x Decision making
|2 fast
|0 (OCoLC)fst01036393
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655 |
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2 |
|a Handbook
|0 (DNLM)D020479
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655 |
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7 |
|a handbooks.
|2 aat
|0 (CStmoGRI)aatgf300311807
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655 |
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7 |
|a Handbooks and manuals
|2 fast
|0 (OCoLC)fst01423877
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655 |
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7 |
|a Handbooks and manuals.
|2 lcgft
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655 |
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7 |
|a Guides et manuels.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001065
|
700 |
1 |
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|a Jude, Hemanth D.
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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
|