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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 251–300 of 425 papers

TitleStatusHype
Hijacking Malaria Simulators with Probabilistic Programming—0
HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors—0
Identifying First Episodes of Psychosis in Psychiatric Patient Records using Machine Learning—0
Identifying Macro Causal Effects in C-DMGs—0
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding—0
Impact of climate change on West Nile virus distribution in South America—0
Impact of misinformation in temporal network epidemiology—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
Improving wastewater-based epidemiology through strategic placement of samplers—0
Individual Survival Curves with Conditional Normalizing Flows—0
Infant Mortality Prediction using Birth Certificate Data—0
Inference of a Rumor's Source in the Independent Cascade Model—0
Inference of Stochastic Dynamical Systems from Cross-Sectional Population Data—0
Information content of contact-pattern representations and predictability of epidemic outbreaks—0
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology—0
Information Theory Unification of Epidemiological and Population Dynamics—0
Interdisciplinary Expertise to Advance Equitable Explainable AI—0
Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study—0
Is a single unique Bayesian network enough to accurately represent your data?—0
Iterative Sketching for Secure Coded Regression—0
Ivy: Instrumental Variable Synthesis for Causal Inference—0
JUNE-Germany: An Agent-Based Epidemiology Simulation including Multiple Virus Strains, Vaccinations and Testing Campaigns—0
Kernel Density Estimation for Multiclass Quantification—0
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data—0
Learning Epidemiology by Doing: The Empirical Implications of a Spatial-SIR Model with Behavioral Responses—0
Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients—0
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression—0
Outliers Detection in Networks with Missing Links—0
LT4SG@SMM4H24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models—0
Lumbar degenerative spondylolisthesis epidemiology: a systemic review with a focus on gender-specific and age-specific prevalence—0
Machine-learned epidemiology: real-time detection of foodborne illness at scale—0
Machine Learning for Infectious Disease Risk Prediction: A Survey—0
Machine learning of percolation models using graph convolutional neural networks—0
Mathematical epidemiology of infectious diseases: an ongoing challenge—0
Measurement Error in Nutritional Epidemiology: A Survey—0
MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare—0
Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors—0
Mind the scales: Harnessing spatial big data for infectious disease surveillance and inference—0
Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems—0
MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction—0
Missing and spurious interaction in additive, multiplicative and odds ratio models—0
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19—0
Modeling complex systems: A case study of compartmental models in epidemiology—0
Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology—0
Modeling-informed policy, policy evaluated by modeling: Evolution of mathematical epidemiology in the context of society and economy—0
Modeling Spatial Invasion of Ebola in West Africa—0
Modeling the COVID-19 pandemic: A primer and overview of mathematical epidemiology—0
Modelling Activity Scheduling Behaviour with Deep Generative Machine Learning—0
Model Selection for Simulator-based Statistical Models: A Kernel Approach—0
Model Selection Techniques -- An Overview—0
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