Using natural language processing to identify the status of homelessness and housing instability among serious illness patients from clinical notes in an integrated healthcare system.

Fagen XieSusan WangLori ViverosAllegra RichHuong Q NguyenAriadna PadillaLindsey LyonsClaudia L Nau

Published in: JAMIA open (2023)

The improved NLP algorithm effectively identified patients with SI who were homeless/at risk of homelessness and can be used to target interventions for this vulnerable group.

Keyphrases

mental illness
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
machine learning
peritoneal dialysis
physical activity
deep learning
mental health
patient reported outcomes