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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 276–300 of 425 papers

TitleStatusHype
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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