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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 176–200 of 425 papers

TitleStatusHype
FoodRepo: An Open Food Repository of Barcoded Food Products—0
A quantitative compendium of COVID-19 epidemiology—0
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology—0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey—0
From the Black-Karasinski to the Verhulst model to accommodate the unconventional Fed's policy—0
Frontiers in Pigment Cell and Melanoma Research—0
An innovative solution for breast cancer textual big data analysis—0
Gearing Gaussian process modeling and sequential design towards stochastic simulators—0
Breaking New Ground, Reinforcing Old Gaps: Gender Disparities in Access to Emerging Research Frontiers—0
Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework—0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage—0
Continuous and discrete compartmental models for infectious disease—0
Geometric approach for non pharmaceutical interventions in epidemiology—0
Global and local epidemiology of Group A Streptococcus indicates that naturally-acquired immunity is enduring and strain-specific—0
Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models—0
Discriminant chronicles mining: Application to care pathways analytics—0
Discovering maximally consistent distribution of causal tournaments with Large Language Models—0
Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
Guidelines in Wastewater-based Epidemiology of SARS-CoV-2 with Diagnosis—0
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods—0
Hard Encoding of Physics for Learning Spatiotemporal Dynamics—0
Cost-efficient vaccination protocols for network epidemiology—0
Counterfactual Analysis in Dynamic Latent State Models—0
HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors—0
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