Machine Learning and Deep Learning for Autism Spectrum Disorder Prediction
Language: English
Published by SHARK NAIL, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 42.89
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction by Dimtry Albert explores the application of modern artificial intelligence techniques to the prediction and analysis of Autism Spectrum Disorder (ASD). The book examines how machine learning and deep learning approaches can be applied to healthcare and biomedical data to identify patterns, develop predictive models, and support data-driven analysis.Autism Spectrum Disorder is a complex neurodevelopmental condition with diverse characteristics and patterns. Advances in artificial intelligence, machine learning, and deep learning have created new opportunities for analyzing structured and clinical datasets and developing computational approaches for prediction and classification.This book provides a focused technical discussion of machine learning and deep learning methods used in ASD prediction. It addresses concepts related to data preparation, feature representation, classification, model development, neural networks, predictive performance, and evaluation. By examining computational approaches to ASD prediction, the book provides insight into how artificial intelligence can contribute to research and data-driven healthcare applications.Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction is intended for students, researchers, data scientists, engineers, computer science professionals, and readers interested in the intersection of artificial intelligence, machine learning, deep learning, healthcare analytics, and computational approaches to neurodevelopmental research. …
Seller Inventory # 9781962116565
- Title
- Machine Learning and Deep Learning for Autism Spectrum Disorder Prediction
- Author
- Dimtry Albert
- Publisher
- SHARK NAIL
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1962116565
- ISBN 13
- 9781962116565
- Item weight
- 237 grams
- Dimensions
- 229x152x9 mm
Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction by Dimtry Albert explores the application of modern artificial intelligence techniques to the prediction and analysis of Autism Spectrum Disorder (ASD). The book examines how machine learning and deep learning approaches can be applied to healthcare and biomedical data to identify patterns, develop predictive models, and support data-driven analysis.
Autism Spectrum Disorder is a complex neurodevelopmental condition with diverse characteristics and patterns. Advances in artificial intelligence, machine learning, and deep learning have created new opportunities for analyzing structured and clinical datasets and developing computational approaches for prediction and classification.
This book provides a focused technical discussion of machine learning and deep learning methods used in ASD prediction. It addresses concepts related to data preparation, feature representation, classification, model development, neural networks, predictive performance, and evaluation. By examining computational approaches to ASD prediction, the book provides insight into how artificial intelligence can contribute to research and data-driven healthcare applications.
Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction is intended for students, researchers, data scientists, engineers, computer science professionals, and readers interested in the intersection of artificial intelligence, machine learning, deep learning, healthcare analytics, and computational approaches to neurodevelopmental research.
"Synopsis" may belong to another edition of this title.
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