MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03066nam a22003377a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250618155008.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250618b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031531477 |
| Qualifying information |
(hardcover) |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| Description conventions |
rda |
| Original cataloging agency |
Sai University Library |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
616.83 |
| Item number |
GAU |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
AI and Neuro-Degenerative Diseases : |
| Remainder of title |
Insights and Solutions / |
| Statement of responsibility, etc |
Loveleen Gaur, Ajith Abraham, Ruel Ajith, editors |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Cham : |
| Name of publisher, distributor, etc |
Springer |
| Date of publication, distribution, etc |
[2024] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham : |
| Name of producer, publisher, distributor, manufacturer |
Springer |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2024] |
| -- |
©2024 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
vi, 181 pages : |
| Other physical details |
illustrations |
| 336 ## - Content type term (R) |
|---|
| Source (NR) |
rdacontent |
| Content type term (R) |
text |
| Content type code (R) |
txt |
| 337 ## - Media Type (R) |
|---|
| Source (NR) |
rdamedia |
| Media type term (R) |
unmediated |
| Media type code (R) |
n |
| 338 ## - Carrier Type (R) |
|---|
| Source (NR) |
rdacarrier |
| Carrier type term (R) |
volume |
| Carrier type code (R) |
nc |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Studies in computational intelligence ; |
| Volume number/sequential designation |
Volume 1131 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art. Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis. The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Nervous system |
| General subdivision |
Degeneration |
| -- |
Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| General subdivision |
Medical applications |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Expert systems (Computer science) |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gaur, Loveleen |
| Relator term |
editor |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Abraham, Ajith |
| Relator term |
editor |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ajith, Reuel |
| Relator term |
editor |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Studies in computational intelligence ; |
| Volume number/sequential designation |
Volume 1131 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Table of Contents only |
| Uniform Resource Identifier |
<a href="https://link.springer.com/book/10.1007/978-3-031-53148-4#toc">https://link.springer.com/book/10.1007/978-3-031-53148-4#toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
