Intelligent healthcare : applications of AI in eHealth / Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar, editors.
Bhatia, Surbhi, 1988- editor.; Dubey, Ashutosh Kumar, editor.; Chhikara, Rita, editor.; Chaudhary, Poonam, editor.; Kumar, Abhishek, 1989- editor.
2021
R859.7.A78
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Intelligent healthcare : applications of AI in eHealth / Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar, editors.
ISBN 9783030670511 (electronic bk.)
3030670511 (electronic bk.)
3030670503
9783030670504
DOI https://doi.org/10.1007/978-3-030-67051-1
Publication Details Cham, Switzerland : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-67051-1 doi
Call Number R859.7.A78
Dewey Decimal Classification 610.285/63
Summary This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.
Note Includes index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 14, 2021).
Added Author Bhatia, Surbhi, 1988- editor.
Dubey, Ashutosh Kumar, editor.
Chhikara, Rita, editor.
Chaudhary, Poonam, editor.
Kumar, Abhishek, 1989- editor.
Series EAI/Springer innovations in communication and computing, 2522-8595
Available in Other Form Intelligent healthcare.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
Part IMedical Expert Systems
Mobile Agents in Healthcare
Fuzzy Expert Systems in Medical Domain
Expert Systems for Bioinformatics
Virtual Reality and Augmented Realty support systems
Brain Computer Interface for rehabilitation
Robotics in healthcare
Part II Machine Learning in Healthcare
Rule based Learning in Healthcare
Classification and Regression in Healthcare
Clustering algorithms
Deep Learning in Healthcare
Big Data
Nature Inspired Algorithms
Part III Case Studies
Corona Virus Study
Dementia Prediction
Brain Injury Data Analysis
Pesticide data Analysis for cancer detection
Conclusion.

Browse Subjects

Show more subjects...

Statistics

from
to
Export