A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients.
Greg M. SilvermanGeetanjali RajamaniNicholas E. IngrahamJames K. GloverHimanshu S. SahooMichael UsherRui ZhangFarha IkramuddinTanya E. MelnikGenevieve B. MeltonChristopher J. TignanelliPublished in: MedInfo (2023)
Keyphrases
- natural language processing
- machine learning
- information extraction
- natural language
- surveillance system
- computational linguistics
- wordnet
- free text
- named entities
- semantic analysis
- high risk
- fault diagnosis
- question answering
- patient data
- word sense disambiguation
- text mining
- healthy controls
- named entity recognition
- clinical data
- text summarization
- blood pressure
- neurological disorders
- text processing
- real time
- surveillance videos
- knowledge representation
- computational biology
- medical data
- semantic relations
- sentiment analysis
- clinical trials
- normal subjects
- video surveillance
- medical records
- monitoring system
- medical care
- processing pipeline
- physiological data
- feature engineering
- normal controls
- artificial intelligence