1 citations · 1 across the 4 of their papers we have counts for
4 papers
STEER: Inference-Time Risk Control via Constrained Quality-Diversity Search
Eric Yang, Jong Ha Lee, Jonathan Amar +2
Large Language Models (LLMs) trained for average correctness often exhibit mode collapse, producing narrow decision behaviors on tasks where multiple responses may be reasonable. T…
NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records with Deep Learning and Natural Language Processing
Tanish Tyagi, Colin G. Magdamo, Ayush Noori +22
Dementia related cognitive impairment (CI) is a neurodegenerative disorder, affecting over 55 million people worldwide and growing rapidly at the rate of one new case every 3 secon…
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records
Tanish Tyagi, Colin G. Magdamo, Ayush Noori +22
Dementia is a neurodegenerative disorder that causes cognitive decline and affects more than 50 million people worldwide. Dementia is under-diagnosed by healthcare professionals -…
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu +16
Dementia is under-recognized in the community, under-diagnosed by healthcare professionals, and under-coded in claims data. Information on cognitive dysfunction, however, is often…