A Multi-Institutional Natural Language Processing Pipeline to Extract Performance Status From Electronic Health Records.
Arash MaghsoudiYvonne H SadaSara NowakowskiDanielle GuffeyHuili ZhuSudha R YarlagaddaAng LiJavad RazjouyanPublished in: Cancer control : journal of the Moffitt Cancer Center (2024)
Our proposed NLP pipeline shows promising results in extracting PS from free-text notes from various health institutions. It may be used in longitudinal cancer data registries.
Keyphrases
- electronic health record
- clinical decision support
- papillary thyroid
- public health
- healthcare
- adverse drug
- mental health
- oxidative stress
- squamous cell
- autism spectrum disorder
- smoking cessation
- health information
- cross sectional
- lymph node metastasis
- childhood cancer
- anti inflammatory
- squamous cell carcinoma
- young adults
- social media
- big data