Cargando…

Artificial intelligence for neurological disorders /

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level,...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Abraham, Ajith, 1968-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Academic Press, 2022.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_on1346856671
003 OCoLC
005 20231120010707.0
006 m o d
007 cr cnu---unuuu
008 221006s2022 xx o 001 0 eng d
040 |a OPELS  |b eng  |e rda  |e pn  |c OPELS  |d UKMGB  |d YDX  |d N$T  |d OCLCF  |d UKAHL  |d OCLCO 
015 |a GBC2C3743  |2 bnb 
016 7 |a 020678183  |2 Uk 
019 |a 1346153000 
020 |z 9780323902779 
020 |a 9780323902786  |q (ePub ebook) 
020 |a 0323902782 
035 |a (OCoLC)1346856671  |z (OCoLC)1346153000 
050 4 |a R859.7.A78 
082 0 4 |a 616.80028563  |2 23 
245 0 0 |a Artificial intelligence for neurological disorders /  |c edited by Ajith Abraham [and more]. 
264 1 |a [Place of publication not identified] :  |b Academic Press,  |c 2022. 
300 |a 1 online resource (1 volume) :  |b illustrations (black and white, and colour). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. 
588 0 |a Print version record. 
650 0 |a Nervous system  |x Diseases  |x Treatment  |x Data processing. 
650 0 |a Artificial intelligence  |x Medical applications. 
650 6 |a Syst�eme nerveux  |0 (CaQQLa)201-0007359  |x Maladies  |0 (CaQQLa)201-0007359  |x Traitement  |0 (CaQQLa)201-0377521  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a Intelligence artificielle en m�edecine.  |0 (CaQQLa)201-0180593 
650 7 |a Artificial intelligence  |x Medical applications  |2 fast  |0 (OCoLC)fst00817267 
700 1 |a Abraham, Ajith,  |d 1968- 
776 0 8 |i Print version:  |t ARTIFICIAL INTELLIGENCE FOR NEUROLOGICAL DISORDERS.  |d [Place of publication not identified] : ELSEVIER ACADEMIC PRESS, 2022  |z 0323902774  |w (OCoLC)1291392841 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323902779  |z Texto completo