5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking
Inês Martins, João Matos, Tiago Gonçalves +3
Algorithmic bias in healthcare mirrors existing data biases. However, the factors driving unfairness are not always known. Medical devices capture significant amounts of data but a…
cs.CL2024
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models
João Matos, Jack Gallifant, Jian Pei +1
Electronic health records (EHRs) contain vast amounts of complex data, but harmonizing and processing this information remains a challenging and costly task requiring significant c…
cs.CY2023★ 5 cited
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review
Luis Filipe Nakayama, João Matos, Justin Quion +8
Over the past two decades, exponential growth in data availability, computational power, and newly available modeling techniques has led to an expansion in interest, investment, an…