Applications of Information Theory to Epidemiology
• Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. • The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. • In research...
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Format: | eBook |
Language: | English |
Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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Online Access: | |
Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
Summary: | • Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. • The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. • In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. • New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. • New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented. |
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Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/ |
Physical Description: | 1 electronic resource (238 p.) |
ISBN: | 9783036503172 9783036503165 books978-3-0365-0317-2 |