This study underscores the transformative potential of specialized pretraining on domain-specific data in boosting the performance of language models for medical applications. The Symptom-BERT model's exceptional efficacy in detecting cancer symptoms heralds a groundbreaking stride in patient-centered AI technologies, offering a promising path to elevate symptom management and cultivate superior patient self-care outcomes.
Keyphrases
- papillary thyroid
- squamous cell
- patient reported
- electronic health record
- healthcare
- autism spectrum disorder
- case report
- palliative care
- lymph node metastasis
- childhood cancer
- metabolic syndrome
- risk assessment
- climate change
- physical activity
- big data
- deep learning
- depressive symptoms
- human health
- quantum dots
- data analysis