Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives.
Alaa AlbashayrehAnindita BandyopadhyayNahid ZeinaliMin ZhangWeiguo FanStéphanie Gilbertson WhitePublished in: JCO clinical cancer informatics (2024)
We illustrated the feasibility of detecting 14 symptom groups in EHR narratives and showed that an embeddings-augmented NLP system outperforms conventional machine learning algorithms in detecting symptom information and differentiating observed symptoms from negated symptoms and medication-related side effects.
Keyphrases
- electronic health record
- machine learning
- adverse drug
- clinical decision support
- patient reported
- health information
- artificial intelligence
- papillary thyroid
- deep learning
- healthcare
- sleep quality
- emergency department
- magnetic resonance
- squamous cell
- computed tomography
- physical activity
- lymph node metastasis
- virtual reality