Data Science for Infectious Disease Data Analytics - An Introduction with R (Hardcover)

Describes the entire data science procedure of how the infectious disease data are collected, curated, visualized, and fed to predictive models, which facilitates effective communication between data sources, scientists, and decision-makers. Describes practical concepts of infectious disease data and provides particular data science perspectives. Overview of the unique features and issues of infectious disease data and how they impact epidemic modeling and projection. Introduces various classes of models and state-of-the-art learning methods to analyze infectious diseases data with valuable insights on how different models and methods could be connected.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Data Science Series
Release date:	November 2022
First published:	2023
Authors:	Lily Wang
Dimensions:	234 x 156 x 26mm (L x W x T)
Format:	Hardcover
Pages:	397
ISBN-13:	978-1-03-218742-6
Categories:	Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General
LSN:	1-03-218742-5
Barcode:	9781032187426

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