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Smart Computational Intelligence in Biomedical and Health Informatics
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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

ISBN-13: 9780367624125
Publisher: Taylor & Francis (CRC Press)
Publication date: September, 2021
Pages: 216
Weight: 412g
Availability: Available
Subcategories: Biomedical Engineering

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