7 citations · 12 across the 7 of their papers we have counts for
7 papers
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation
Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez +4
Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them engage in timely preventive interventions before the disease is established. Many…
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti
Large language models (LLMs) have shown impressive potential in helping with numerous medical challenges. Deploying LLMs in high-stakes applications such as medicine, however, brin…
Aligning (Medical) LLMs for (Counterfactual) Fairness
Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
Large Language Models (LLMs) have emerged as promising solutions for a variety of medical and clinical decision support applications. However, LLMs are often subject to different t…
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
Large Language Models (LLMs) have emerged as powerful candidates to inform clinical decision-making processes. While these models play an increasingly prominent role in shaping the…
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
Hamed Fayyaz, Abigail Strang, Niharika S. D'Souza +1
Polysomnography (PSG) is a type of sleep study that records multimodal physiological signals and is widely used for purposes such as sleep staging and respiratory event detection.…
Who will Leave a Pediatric Weight Management Program and When? -- A machine learning approach for predicting attrition patterns
Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell +1
Childhood obesity is a major public health concern. Multidisciplinary pediatric weight management programs are considered standard treatment for children with obesity and severe ob…