Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Examines the latest techniques of big data, machine learning, and deep learning as applied to healthcare analytics, using a case study approach

Pradeep N (Edited by), Sandeep Kautish (Edited by), Sheng-Lung Peng (Edited by)

9780128216330

Paperback, published 14 June 2021

372 pages
23.4 x 19 x 2.4 cm, 0.77 kg

Approx.342 pages

Part I: Big Data in Healthcare Analytics
1. Foundations of Healthcare Informatics
2. Smart Healthcare Systems Using Big Data
3. Big Data-based Frameworks for Healthcare Systems
4. Predictive Analysis and Modelling in Healthcare Systems
5. Challenges and Opportunities of Big Data Integration in Patient-Centric Healthcare Analytics Using Mobile Networks
6. Emergence of Decision Support Systems in Healthcare

Part II: Machine Learning and Deep Learning for Healthcare
7. A Comprehensive Review on Deep Learning Techniques for BCI-based Communication Systems
8. Machine Learning and Deep Learning-based Clinical Diagnostic Systems
9. An Improved Time-Frequency Method for Efficient Diagnosis of Cardiac Arrhythmias
10. Local Plastic Surgery-based Face Recognition Using Convolutional Neural Networks
11. Machine Learning Algorithms for Prediction of Heart Disease
12. Convolutional Siamese Networks for One-Shot Malaria Parasites Recognition in Microscopic Images
13. Kidney Disease Prediction Using a Machine Learning Approach: A Comparative and Comprehensive Analysis

Subject Areas: Biomedical engineering [MQW]