51 citations · 58 across the 4 of their papers we have counts for
4 papers
The Average Patient Fallacy
Alaleh Azhir, Shawn N. Murphy, Hossein Estiri
Machine learning in medicine is typically optimized for population averages. This frequency weighted training privileges common presentations and marginalizes rare yet clinically c…
An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data
Jiazi Tian, Liqin Wang, Pedram Fard +7
Early identification of cognitive concerns is critical but often hindered by subtle symptom presentation. This study developed and validated a fully automated, multi-agent AI workf…
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
Jonas Hügel, Ulrich Sax, Shawn N. Murphy +1
The increasing availability of large clinical datasets collected from patients can enable new avenues for computational characterization of complex diseases using different analyti…
Individualized Prediction of COVID-19 Adverse outcomes with MLHO
Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy
We developed MLHO (pronounced as melo), an end-to-end Machine Learning framework that leverages iterative feature and algorithm selection to predict Health Outcomes. MLHO implement…