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MORE ABOUT THIS BOOK
Main description:
Covers evolutionary approaches to solve optimization problems in biomedical engineering.
Discusses IoT, Cloud computing, data analytics in healthcare informatics.
Provides computational intelligence-based solution for diagnosis of diseases.
Reviews modelling and simulations in designing of biomedical equipment.
Promotes machine learning based approaches to improvements in biomedical engineering problems.
Contents:
Chapter 1 Impact of Gender on the Lipid Profile of Patients with Coronary
Artery Disease: A Bayesian Analytical Approach
Vivek Verma, Ashwani Kumar Mishra, Anita Verma,
Hafiz T. A. Khan, Dilip C. Nath, and Rajiv Narang
Chapter 2 Implementation of Wearable ECG Monitor Interfaced with
Real-Time Location Tracker
Aditya Anand Doshi, Utkarsh Nitin Kasar,
and Suchitra Khoje
Chapter 3 AI and Deep Learning for Biomedical Image Analysis
R. Priyatharshini and R. Reena Roy
Chapter 4 Deep Learning: A Review on Supervised Architectures
and their Applications to Decision Support Systems in the
Medical Field
Tajinder Pal Singh, Sheifali Gupta, Meenu Garg,
and Deepali Gupta
Chapter 5 Automated View Orientation Classification for X-ray Images
Using Deep Neural Networks
K. Karthik and Kamath S. Sowmya
Chapter 6 Sustainable e-Health Solutions for Routine and Emergency
Treatment: Scope of Informatics and Telemedicine in India
Arindam Chakrabarty, Uday Sankar Das,
and Saket Kushwaha
Chapter 7 Predicting Medical Procedures from Diagnostic Sequences
Using Neural Machine Translation
Siddhanth Pillay and Sowmya Kamath S
Chapter 8 Sensing the Mood-Application of Machine Learning
in Human Psychology Analysis and Cognitive Science
Ahona Ghosh and Sriparna Saha
Chapter 9 Speech Emotion Recognition using Manta Ray Foraging
Optimization Based Feature Selection
Soham Chattopadhyay, Arijit Dey, Hritam Basak,
and Sriparna Saha
Chapter 10 Internet of Things in Healthcare Informatics
A. Vijayalakshmi and A. Hridya
Chapter 11 Deep Learning for the Prediction and Detection of
Alzheimer's Disease (AD): An Overview and Future Trends
Pavanalaxmi, Roopashree
Chapter 12 A Text Analytics-based E-Healthcare Decision Support
Model Using Machine Learning Techniques
A. Sheik Abdullah, R. Parkavi, P. Karthikeyan,
and S. Selvakumar
PRODUCT DETAILS
Publisher: Taylor & Francis (CRC Press)
Publication date: September, 2021
Pages: 216
Weight: 412g
Availability: Available
Subcategories: Biomedical Engineering