Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease (Advances in Medical Technologies and Clinical Practice) - Hardcover

Hardcover

ISBN 10: 1799871886 ISBN 13: 9781799871880

Publisher: Business Science Reference, 2021

Synopsis

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease.

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

Edition details

• Publisher: Business Science Reference
• Publication date: 2021
• Language: English
• ISBN 10: 1799871886
• ISBN 13: 9781799871880
• Binding: Hardcover
• Number of pages: 315
• Editor: Roy Manikant, Gupta Lovi Raj