Rapid advances in artificial intelligence (AI) and availability of biological, medical, and healthcare data have enabled the development of a wide variety of models. Significant …
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.