nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

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Bibliographic Details

Title: Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease
Publisher: Medical Information Science Reference
Publication Date: 2021
Language: English
ISBN 10: 1799871886
ISBN 13: 9781799871880
Binding: Buch
Condition: Neu
Dimensions: 286 millimeters width by 221 millimeters height by 19 millimeters depth
Weight: 932 grams

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"This book provides the recent various theoretical frameworks, empirical research and application of advanced analytics methods for disease detection, pandemic management, disease prediction etc. using the data analysis methods and their usages for taking timely decisions for prevention of such spread of pandemic and how people in government, society and administer can use these insights for overall management"--

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