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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

Showing 176200 of 425 papers

TitleStatusHype
Extraction of Pharmacokinetic Evidence of Drug-drug Interactions from the Literature0
Exploring Label Dependency in Active Learning for Phenotype Mapping0
Combining COVID-19 Vaccination with Social Distancing Measures0
Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case0
From the Black-Karasinski to the Verhulst model to accommodate the unconventional Fed's policy0
Frontiers in Pigment Cell and Melanoma Research0
Explicit mathematical epidemiology results on age renewal kernels and R0 formulas are often consequences of the rank one property of the next generation matrix0
Exact inference and learning for cumulative distribution functions on loopy graphs0
Breaking New Ground, Reinforcing Old Gaps: Gender Disparities in Access to Emerging Research Frontiers0
Exact epidemic models from a tensor product formulation0
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage0
Evidence Aggregation for Treatment Choice0
Geometric approach for non pharmaceutical interventions in epidemiology0
Global and local epidemiology of Group A Streptococcus indicates that naturally-acquired immunity is enduring and strain-specific0
Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models0
Ethnic Disparities of Female Infiltrating Duct and Lobular Breast Cancer Survival by Cancer Stage: Findings From SEER 2006-20100
Estimating the Size of a Large Network and its Communities from a Random Sample0
Causal reasoning in difference graphs0
Estimating Categorical Counterfactuals via Deep Twin Networks0
Estimating Peer Direct and Indirect Effects in Observational Network Data0
Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data0
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks0
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations0
A deep learning modeling framework to capture mixing patterns in reactive-transport systems0
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