Handbook of Data Science Approaches for Biomedical Engineering

A comprehensive guide to the application of data science analytics for biomedical engineering, clinical and healthcare research and management

Valentina Emilia Balas (Edited by), Vijender Kumar Solanki (Edited by), Raghvendra Kumar (Edited by), Manju Khari (Edited by)

9780128183182

Paperback, published 13 November 2019

318 pages
23.4 x 19 x 2.1 cm, 0.61 kg

Approx.304 pages

1. Analysis of the role and scope of big data analytics with IoT in Healthcare domain 2. Automated human cortical bone haversian canal Histomorphometric comparison system 3. Biomedical Instrument and automation: Automatic Instrumentation in Biomedical Engineering 4. Contribution of IoT and Big Data in Modern Health Care Applications in Smart City Mamata Rath and Vijender 5. Emerging Trends in IoT and Big Data Analytics for Biomedical and Healthcare Technologies 6. Recent Advances on Big Data Analysis for Malaria Prediction and Various Diagnosis Methodologies 7. Semantic Interoperability in IoT and Big Data for Healthcare: A Collaborative Approach 8. Why Big Data, and what its: Basics-to Advance Big Data Journey for medical industry 9. Semi-Supervised Fuzzy Clustering Methods for X-Ray Image Segmentation

Subject Areas: Biomedical engineering [MQW]