عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(hbk)
Qualification
(pbk)
Qualification
(ebk)
(Number (ISBN
9781032208305
(Number (ISBN
9781032208329
Erroneous ISBN
9781003265436
NATIONAL BIBLIOGRAPHY NUMBER
Number
7221
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Machine learning and artificial intelligence in healthcare systems
General Material Designation
[electronic resources]
Other Title Information
tools and techniques
First Statement of Responsibility
[edited by] Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool.
EDITION STATEMENT
Edition Statement
First edition.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton, FL
Name of Publisher, Distributor, etc.
CRC Press
Date of Publication, Distribution, etc.
2023.
PROJECTED PUBLICATION DATE
Date
2302
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
vi, 350 pages.
Other Physical Details
ill. (some color), tables.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
"This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics which can help or prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underline the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior known as sentiment analysis for healthcare-related purposes round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Artificial intelligence
Entry Element
Machine learning.
Topical Subdivision
Medical applications.
UNCONTROLLED SUBJECT TERMS
Subject Term
Machine learning.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Entry Element
Shaikh, Tawseef Ayoub,
Entry Element
Hakak, Saqib,
Entry Element
Rasool, Tabasum,
Relator Code
Editor
Relator Code
Editor
Relator Code
Editor
ORIGINATING SOURCE
Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20250505070632.0
Cataloguing Rules (Descriptive Conventions))
rda
e
BL
280328
a
Y
