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Found 5 papers, 0 papers with code
Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development
By predicting the number of COVID-19 related calls, we could predict imminent surges in healthcare use and plan medical resources ahead.
Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography
The first step to automatically analyze fetal FC views is locating the fetal four crucial chambers of heart in a US image.
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction
Results: For the champion machine learning model of the competition, our method explained prediction results for 87. 4% of patients who were correctly predicted by the model to have type 2 diabetes diagnosis within the next year.
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection
Methods: To address the challenge, this paper presents progressive sampling-based Bayesian optimization, an efficient and automatic selection method for both algorithms and hyper-parameter values.
Automatic Machine Learning Model Selection
Bayesian Optimization
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