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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 151–200 of 425 papers

TitleStatusHype
Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient—0
Epidemic control via stochastic optimal control—0
Bayesian Semi-Parametric Spatial Dispersed Count Model for Precipitation Analysis—0
Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task—0
An Interdisciplinary Perspective of the Built-Environment Microbiome—0
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting—0
Epidemiology-informed Network for Robust Rumor Detection—0
A Data-Driven Control-Theoretic Paradigm for Pandemic Mitigation with Application to Covid-19—0
Identifying Macro Causal Effects in C-DMGs—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Estimating the Size of a Large Network and its Communities from a Random Sample—0
Ethnic Disparities of Female Infiltrating Duct and Lobular Breast Cancer Survival by Cancer Stage: Findings From SEER 2006-2010—0
Disease Event Detection based on Deep Modality Analysis—0
Exact epidemic models from a tensor product formulation—0
Exact inference and learning for cumulative distribution functions on loopy graphs—0
Explicit mathematical epidemiology results on age renewal kernels and R0 formulas are often consequences of the rank one property of the next generation matrix—0
Exploring Label Dependency in Active Learning for Phenotype Mapping—0
Application of Mathematical Epidemiology to crop vector-borne diseases. The cassava mosaic virus disease case—0
Extraction of Pharmacokinetic Evidence of Drug-drug Interactions from the Literature—0
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe—0
Innovations in Integrating Machine Learning and Agent-Based Modeling of Biomedical Systems—0
Fiber decomposition of deterministic reaction networks with applications—0
Defining the lead time of wastewater-based epidemiology for COVID-19—0
Finding Negative Symptoms of Schizophrenia in Patient Records—0
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures—0
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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