MARC details
| 000 -LEADER |
| fixed length control field |
02020nam a2200289 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
ISI Library, Kolkata |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20260401140819.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
210301s2021 flua b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781032039855 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
ISI Library |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| 041 0# - LANGUAGE CODE |
| Language code of text/sound track or separate title |
eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Edition number |
23 |
| Classification number |
610.285 |
| Item number |
M149 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
El-Baz, Ayman, |
| Relator term |
editor. |
| 245 10 - TITLE STATEMENT |
| Title |
Machine learning in medicine / |
| Statement of responsibility, etc |
edited by Ayman El-Baz, Jasjit S. Suri. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Boca Raton : |
| Name of publisher, distributor, etc |
CRC Press, |
| Date of publication, distribution, etc |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xxi, approximately 300 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 490 1# - SERIES STATEMENT |
| Series statement |
Chapman & Hall/CRC healthcare informatics series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
Machine Learning in Medicine explores the integration of advanced machine learning techniques into modern healthcare systems. The book focuses on how computational models—especially deep learning and neural networks—are applied to medical data for diagnosis, prediction, and clinical decision support. It highlights the role of computer-aided diagnosis (CAD) systems in detecting diseases such as cancer and neurological disorders, demonstrating how these tools improve accuracy and efficiency in clinical practice. The text also examines applications in areas like medical imaging, ultrasound diagnostics, dermatology, and cognitive decline detection, emphasizing real-world biomedical datasets and challenges. Additionally, the work addresses practical limitations of current machine learning models in healthcare, including data constraints and reliability issues, while proposing emerging solutions. Overall, the book presents both current trends and future directions in AI-driven medicine, aiming to support research and innovation in medical informatics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Medicine |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Medical informatics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Artificial intelligence in medicine. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Suri, Jasjit S., |
| Relator term |
editor. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |