Applications of Information Theory to Epidemiology

• Tác giả khác: Hughes, Gareth (Biên tập viên)
• Định dạng: Điện tử Chương của sách
• Ngôn ngữ: Tiếng Anh
• Được phát hành: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Những chủ đề: Research & information: general; Biology, life sciences; 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
• Truy cập trực tuyến: DOAB: download the publication; DOAB: description of the publication

• 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...