Machine Learning for Neurodegenerative Disorders: Advancements and Applications (1) (Artificial Intelligence in Biomedical Image Processing)

Synopsis

This book explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders. This comprehensive resource is intended for neuroscientists, students, researchers, and neurologists to understand the emerging scope of machine learning in neurodegenerative disorders.

Copyright:

2025

Book Details

Book Quality:

Publisher Quality

Book Size:

264 Pages

ISBN-13:

9781040317921

Related ISBNs:

9781040317914, 9781032660936, 9781032661025

Publisher:

CRC Press

Date of Addition:

03/31/25

Copyrighted By:

selection and editorial matter, Biswajit Jena, Sanjay Saxena, and Sudip Paul

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Science, Technology, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Biswajit Jena

Edited by:

Sanjay Saxena

Edited by:

Sudip Paul