70 citations
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14 papers
Evaluation of the phi-3-mini SLM for identification of texts related to medicine, health, and sports injuries
Chris Brogly, Saif Rjaibi, Charlotte Liang +5
Small Language Models (SLMs) have potential to be used for automatically labelling and identifying aspects of text data for medicine/health-related purposes from documents and the…
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Congyu Fang, Adam Dziedzic, Lin Zhang +5
Machine Learning (ML) has demonstrated its great potential on medical data analysis. Large datasets collected from diverse sources and settings are essential for ML models in healt…
Case-crossover designs and overdispersion with application in air pollution epidemiology
Samuel Perreault, Gracia Y. Dong, Alex Stringer +2
Over the last three decades, case-crossover designs have found many applications in health sciences, especially in air pollution epidemiology. They are typically used, in combinati…
"Medium-n studies" in computing education conferences
Michael Guerzhoy
Good (Frequentist) statistical practice requires that statistical tests be performed in order to determine if the phenomenon being observed could plausibly occur by chance if the n…
Medical Misinformation in AI-Assisted Self-Diagnosis: Development of a Method (EvalPrompt) for Analyzing Large Language Models
Troy Zada, Natalie Tam, Francois Barnard +3
Rapid integration of large language models (LLMs) in health care is sparking global discussion about their potential to revolutionize health care quality and accessibility. At a ti…
Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit
Raphael Azriel, Cecil D. Hahn, Thomas De Cooman +5
Objective: Epileptic seizures are relatively common in critically-ill children admitted to the pediatric intensive care unit (PICU) and thus serve as an important target for identi…