Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease book cover

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Author(s): Manikant Roy (Editor), Lovi Raj Gupta

  • Publisher: Business Science Reference
  • Publication Date: 25 Jun. 2021
  • Language: English
  • Print length: 315 pages
  • ISBN-10: 1799871886
  • ISBN-13: 9781799871880

Book Description

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.

View on Amazon

电子书代发PDF格式价格30我要求助
未经允许不得转载:Wow! eBook » Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease