4 papers · 1 filter
Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records
Syed Ahmad Chan Bukhari, Amritpal Singh, Shifath Hossain +1
Intensive Care Unit (ICU) patients often present with complex, overlapping signs of physiological deterioration that require timely escalation of care. Traditional early warning sy…
A Machine Learning Framework for Pathway-Driven Therapeutic Target Discovery in Metabolic Disorders
Iram Wajahat, Amritpal Singh, Fazel Keshtkar +1
Metabolic disorders, particularly type 2 diabetes mellitus (T2DM), represent a significant global health burden, disproportionately impacting genetically predisposed populations su…
Confidence-Calibrating Regularization for Robust Brain MRI Segmentation Under Domain Shift
Behraj Khan, Tahir Qasim Syed, Syed Ahmad Chan Bukhari
The Segment Anything Model (SAM) exhibits strong zero-shot performance on natural images but suffers from domain shift and overconfidence when applied to medical volumes. We propos…
A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
Syed Ahmad Chan Bukhari, Fazel Keshtkar, Alyssa Meczkowska
Clinician burnout poses a substantial threat to patient safety, particularly in high-acuity intensive care units (ICUs). Existing research predominantly relies on retrospective sur…