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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
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions—0
Partner support during pregnancy mediates social inequalities in maternal postpartum depression for non-migrant and first generation migrant women—0
PEACH Tree: A Multiple Sequence Alignment and Tree Display Tool for Epidemiologists—0
Performing clinical drug trials in children with a rare disease—0
Personalized Prognostic Models for Oncology: A Machine Learning Approach—0
Personalized Public Policy Analysis in Social Sciences using Causal-Graphical Normalizing Flows—0
Petri nets in epidemiology—0
Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)—0
Pneumococcus and the stress-gradient hypothesis: a trade-off links R_0 and susceptibility to co-colonization across countries—0
Point Process Modelling of Rumour Dynamics in Social Media—0
Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights—0
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications—0
Predicting high dengue incidence in municipalities of Brazil using path signatures—0
Prediction of Prognosis and Survival of Patients with Gastric Cancer by Weighted Improved Random Forest Model—0
Equivariant online predictions of non-stationary time series—0
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records—0
Probing the Effect of Selection Bias on Generalization: A Thought Experiment—0
Production networks and epidemic spreading: How to restart the UK economy?—0
Products of Compartmental Models in Epidemiology—0
Public Goods Games in Disease Evolution and Spread—0
Quantitative clarification of key questions about COVID-19 epidemiology—0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Clustering and Pruning in Causal Data FusionCode0
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous TransformerCode0
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