Artificial Intelligence for Innovative Healthcare Informatics

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.

Autorentext

Shabir A Parah received his Ph.D. degree in Electronics from the University of Kashmir, Srinagar in 2013 in the field of Image processing. He is currently an Assistant Professor with the Department of Electronics and IT, University of Kashmir. He has authored or co-authored 150+ papers in the journals and conferences of international repute. His fields of interest are multimedia signal processing, secure communication, smart health, IoMT and Spintronics. He is member of many professional organization like IEEE, IAENG, IEA etc. Mamoon Rashid is Assistant Professor in Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, India. He has published 80+ papers indexed in SCI/SCIE journals and Conferences of International repute. He is a regular contributor to monthly Editorial of CSI Communications and serves as in Editorial Review Board for many journals. His research interests include Big Data Analytics, Machine Learning, Neuro Imaging, & Image Processing.

Vijayakumar Varadarajan is currently an Adjunct Professor in School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. He is also a Data Science Advisor for Brite Yellow Pvt Ltd United Kingdom, He was a Professor and Associate Dean for School of Computing Science and Engineering at VIT University, Chennai, India. He has more than 18 years of experience including industrial and institutional.. He has completed his PhD from Anna University in 2012. He has published many articles in national and international level journals/conferences/books. He has initiated a number of international research collaborations with universities in Europe, Australia, Africa, Malaysia, Singapore and North & South America. His research interests include computational areas covering grid computing, cloud computing, computer networks, cyber security and big data. He is also a member of several national and international professional bodies including IFSA, EAI, BIS, ISTE, IAENG, CSTA, IEA.

Inhalt

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