Data Analytics in Biomedical Engineering and Healthcare

Erscheinungsjahr 2020
ISBN: 978-0-12-819314-3
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 292 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 700 g

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.

Autoren/Hrsg.

Samui, Pijush

Kumar, Vijay

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Medizinische Biotechnologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

1. Data analytics applications in biomedical data 2. Predictive Health Analysis 3. Exploration of EHR (Electronic Health Records) using data science 4. Machine Learning and Deep Learning application on medical image analysis 5. Developing Clinical Decision Support System 6. Innovative Classification, Regression Model for predicting various diseases 7. Computational Drug Discovery using State of the Art Unsupervised learning 8. Genome Structure prediction using Predictive modelling 9. Hybrid learning for better medical diagnosis 10. Big data application in healthcare under MapReduce and Hadoop frameworks

Über Autor(innen)

Samui, Pijush
Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings.

Kumar, Vijay
Dr. Vijay Kumar received M.Sc. degree in Electronics from the Magadh University, India 2003. He has completed a M.Tech degree in Microwave remote sensing systems from BIT Mesra, Ranchi, in 2005, and completed PhD from IIT Bombay, Mumbai in 2011 in Microwave Remote sensing. He worked as DST Govt. of India sponsored scientist/principal Investigator at CSRE, IIT Bombay during 2009 to 2013. He has been a visiting researcher at Earth observation Group, Northern Research Institute (NORUT) during 2009-2010. Presently, Kumar is working as Associate professor at School of Electronics Engineering, VIT University, Vellore TN, India from 2013 till date.