4 citations · 4 across the 3 of their papers we have counts for
3 papers
Informative Missingness to Generate Irregular Clinical Time Series
Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora +4
Laboratory tests in electronic health records are collected irregularly, and the absence of a test order can be as informative as the measurement itself. Such missingness reflects…
Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
Amalie Koch Andersen, Hadi Mehdizavareh, Arijit Khan +8
Objective: ML-based clinical risk prediction models are increasingly used to support decision-making in healthcare. While class-imbalance correction techniques are commonly applied…
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series
Hadi Mehdizavareh, Arijit Khan, Simon Lebech Cichosz
Accurately predicting blood glucose (BG) levels of ICU patients is critical, as both hypoglycemia (BG < 70 mg/dL) and hyperglycemia (BG > 180 mg/dL) are associated with increased m…