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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
التنسيق:	Online
اللغة:	الإنجليزية
منشور في:	MDPI - Multidisciplinary Digital Publishing Institute 2021
الموضوعات:	Ebola model Caputo derivative Caputo–Fabrizio derivative Atangana–Baleanu derivative numerical results entropy information theory multiple diagnostic tests mutual information relative entropy balance Jensen–Shannon divergence observational study selection bias probability forecast likelihood ratio positive predictive value negative predictive value diagnostic information Shannon entropy epidemic model transient behavior vaccination and treatment intervention controls diagnostic test evaluation ROC curve PROC curve binormal prevalence Bayes’ rule leaf plot expected mutual information predictive ROC curve PV-ROC curve SS-ROC curve SS/PV-ROC plot empirical urinary bladder cancer sensitivity specificity HIV/AIDS epidemic regression model Newton–Raphson procedure Fisher scoring algorithm time series early detection Asiatic citrus canker latent class field diagnostic scent signature direct assay deployment average mutual information stochastic processes deterministic dynamics n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
الوصول للمادة أونلاين:	ONIX_20210501_9783036503165_315
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الوصف
الملخص:	• 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.

Applications of Information Theory to Epidemiology

مواد مشابهة