Development of islet autoimmunity precedes the onset of type 1 diabetes in children, however, the presence of autoantibodies does not necessarily lead to manifest disease and the …
We present Roslingifier, a data-driven storytelling method for animated scatterplots. Like its namesake, Hans Rosling (1948–2017), a professor of public health and a spellbinding …
Background: Polygenic scores—which quantify inherited risk by integrating information from many common sites of DNA variation—may enable a tailored approach to clinical medicine. …
Background: Diet-tracking mobile apps have gained increased interest from both academic and clinical fields. However, quantity-focused diet tracking (eg, calorie counting) can be …
Biologists often perform clustering analysis to derive meaningful patterns, relationships, and structures from data instances and attributes. Though clustering plays a pivotal role …
Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease …
In this paper, we introduce a novel visual analytics technique, called RetainVis, that incorporates a more interpretable, interactive version of the state-of-the-art RNN model …
In this paper, we introduce a novel visual analytics technique, called RetainVis, that incorporates a more interpretable, interactive version of the state-of-the-art RNN model …
In this paper, we introduce a novel visual analytics technique, called Clustervision, that helps users explore clustering results from various clustering techniques and parameters.
In this study, we derive important features to predict users' social support needs by applying various machine learning techniques on survey data. One finding is that users seeking …