Search Results for author:
Found 5 papers, 0 papers with code
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to reduce administrative burden and improve quality of care.
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness
We argue that traditional methods have rarely made use of both times-series dynamics of the data as well as the relatedness of the features from different sensors.
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data
Medical events of interest, such as mortality, often happen at a low rate in electronic medical records, as most admitted patients survive.
Predicting the meal macronutrient composition from continuous glucose monitors
We built a multitask neural network to estimate the macronutrient composition from the CGM signal, and compared it against a baseline linear regression.
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
Activity recognition in wearable computing faces two key challenges: i) activity characteristics may be context-dependent and change under different contexts or situations; ii) unknown contexts and activities may occur from time to time, requiring flexibility and adaptability of the algorithm.
