5 citations · 9 across the 5 of their papers we have counts for
5 papers
Phenotype Detection in Real World Data via Online MixEHR Algorithm
Ying Xu, Romane Gauriau, Anna Decker +1
Understanding patterns of diagnoses, medications, procedures, and laboratory tests from electronic health records (EHRs) and health insurer claims is important for understanding di…
Semantic Decomposition Improves Learning of Large Language Models on EHR Data
David A. Bloore, Romane Gauriau, Anna L. Decker +1
Electronic health records (EHR) are widely believed to hold a profusion of actionable insights, encrypted in an irregular, semi-structured format, amidst a loud noise background. T…
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge +2
As interest in applying machine learning techniques for medical images continues to grow at a rapid pace, models are starting to be developed and deployed for clinical applications…
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems
Charles Lu, Julia Strout, Romane Gauriau +4
Healthcare is one of the most promising areas for machine learning models to make a positive impact. However, successful adoption of AI-based systems in healthcare depends on engag…
Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports
Neil Deshmukh, Selin Gumustop, Romane Gauriau +6
Although machine learning has become a powerful tool to augment doctors in clinical analysis, the immense amount of labeled data that is necessary to train supervised learning appr…