215 citations · 861 across the 56 of their papers we have counts for
4 papers · 1 filter
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction
Changchang Yin, Shihan Fu, Bingsheng Yao +5
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis prediction and identification allow for timely intervention, leading to improve…
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Changchang Yin, Pin-Yu Chen, Bingsheng Yao +3
Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and diagnosis could significantly improve the survival of sepsis patients. Existing p…
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems
Jaimie Drozdal, Justin Weisz, Dakuo Wang +6
We explore trust in a relatively new area of data science: Automated Machine Learning (AutoML). In AutoML, AI methods are used to generate and optimize machine learning models by a…
Capturing Evolution Genes for Time Series Data
Wenjie Hu, Jianping Huang, Liang Wu +5
The modeling of time series is becoming increasingly critical in a wide variety of applications. Overall, data evolves by following different patterns, which are generally caused b…