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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 251–260 of 425 papers

TitleStatusHype
Nearest Neighbor Sampling for Covariate Shift Adaptation—0
Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine—0
Rule-based epidemic models—0
SEANN: A Domain-Informed Neural Network for Epidemiological Insights—0
Sélection de variables par le GLM-Lasso pour la prédiction du risque palustre—0
SemEval-2015 Task 14: Analysis of Clinical Text—0
Semiparametric Methods for Exposure Misclassification in Propensity Score-Based Time-to-Event Data Analysis—0
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics—0
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox—0
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling—0
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