MARC details
| 000 -LEADER |
| fixed length control field |
03390nam a22003015i 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
220523s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9783030965693 |
| -- |
978-3-030-96569-3 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
610.285 |
| Edition number |
23 |
| 245 10 - TITLE STATEMENT |
| Title |
Artificial Intelligence for Innovative Healthcare Informatics |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
edited by Shabir Ahmad Parah, Mamoon Rashid, Vijayakumar Varadarajan. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
1st ed. 2022. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Cham : |
| Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : |
| -- |
Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
VI, 327 p. 94 illus., 79 illus. in color. |
| Other physical details |
online resource. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Section 1: Medical Image Analysis using Artificial Intelligence -- Use of Deep Learning in Biomedical Imaging.-Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach -- Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning -- Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry -- Effective Prediction of Autism Using Ensemble Method.-Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic.-Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models.-AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images -- Section 3: Use of AI-Enabled IoT in Healthcare -- Internet of Things and Artificial Intelligence in Biomedical Systems.-Role of IoT in Healthcare Sector for Monitoring Diabetic Patients -- Section 4: Applications of Artificial Intelligence in Healthcare -- Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns.-Performance Comparison of Imputation Methods for Heart Disease Prediction -- Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach -- Artificial Intelligence in Biomedical Education -- The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI -- Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems. In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Medical informatics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Image processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine learning. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Health Informatics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Image Processing. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Machine Learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Parah, Shabir Ahmad. |
| Relator term |
editor. |
| 9 (RLIN) |
1470106 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Rashid, Mamoon. |
| Relator term |
editor. |
| 9 (RLIN) |
1470107 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Varadarajan, Vijayakumar. |
| Relator term |
editor. |
| 9 (RLIN) |
1470108 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-030-96569-3">https://doi.org/10.1007/978-3-030-96569-3</a> |
| Materials specified |
Click Here |
| 887 ## - NON-MARC INFORMATION FIELD |
| Content of non-MARC field |
Akhil Chandra Saren |