4 citations · 4 across the 3 of their papers we have counts for
4 papers
Missingness-Aware Prior-Data Fitted Network for Irregular Clinical Time-Series
Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora +5
Clinical time series are irregularly observed with laboratory measurements recorded at uneven intervals and observation patterns often reflecting patient state, clinical concern, a…
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…