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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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Bibliographic Details
Main Author: Hughes, Gareth
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Scent Signature
Numerical Results
Stochastic Processes
Forecast
Information Theory
Vaccination And Treatment Intervention Controls
Atangana-baleanu Derivative
Regression Model
Deployment
N/a
Pv-roc Curve
Likelihood Ratio
Probability
Leaf Plot
Diagnostic Information
Time Series
Prevalence
Caputo-fabrizio Derivative
Caputo Derivative
Relative Entropy
Diagnostic Test
Transient Behavior
Ss-roc Curve
Negative Predictive Value
Binormal
Balance
Positive Predictive Value
Bayes' Rule
Direct Assay
Selection Bias
Asiatic Citrus Canker
Empirical
Hiv/aids Epidemic
Multiple Diagnostic Tests
Roc Curve
Epidemic Model
Expected Mutual Information
Proc Curve
Observational Study
Research & Information: General / Bicssc
Average Mutual Information
Latent Class
Sensitivity
Biology, Life Sciences / Bicssc
Evaluation
Specificity
Predictive Roc Curve
Early Detection
Urinary Bladder Cancer
Entropy
Fisher Scoring Algorithm
Ebola Model
Newton-raphson Procedure
Deterministic Dynamics
Ss/pv-roc Plot
Shannon Entropy
Mutual Information
Jensen-shannon Divergence
Field Diagnostic
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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.
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

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