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Epidemiology

Epidemiology is a scientific discipline that provides reliable knowledge for clinical medicine focusing on prevention, diagnosis and treatment of diseases. Research in Epidemiology aims at characterizing risk factors for the outbreak of diseases and at evaluating the efficiency of certain treatment strategies, e.g., to compare a new treatment with an established gold standard. This research is strongly hypothesis-driven and statistical analysis is the major tool for epidemiologists so far. Correlations between genetic factors, environmental factors, life style-related parameters, age and diseases are analyzed.

Source: Visual Analytics of Image-Centric Cohort Studies in Epidemiology

Papers

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Showing 326–350 of 425 papers

TitleStatusHype
Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case—0
Outliers Detection in Networks with Missing Links—0
Optimal Estimation of Change in a Population of Parameters—0
Mortality for circulatory and respiratory causes associated with influenza circulation in Russia during the 2013/14 through the 2018/19 seasons—0
Equivariant online predictions of non-stationary time series—0
Parameter elimination in particle Gibbs samplingCode0
Distilling Importance Sampling for Likelihood Free InferenceCode0
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes—0
Efficient comparison of independence structures of log-linear modelsCode0
Infant Mortality Prediction using Birth Certificate Data—0
Multi-task Learning for Aggregated Data using Gaussian ProcessesCode0
The Kernel Spatial Scan Statistic—0
Hijacking Malaria Simulators with Probabilistic Programming—0
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records—0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
Toponym Identification in Epidemiology Articles - A Deep Learning Approach—0
Spatial CUSUM for Signal Region Detection—0
Semiparametric Methods for Exposure Misclassification in Propensity Score-Based Time-to-Event Data Analysis—0
Correspondence Analysis Using Neural NetworksCode0
Is a single unique Bayesian network enough to accurately represent your data?—0
Model Selection for Simulator-based Statistical Models: A Kernel Approach—0
A Survey of the Individual-Based Model applied in Biomedical and Epidemiology—0
Empowering individual trait prediction using interactions—0
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
Thought Viruses and Asset Prices—0
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