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Found 9 papers, 3 papers with code
Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
The gold standard in clinical data capturing is achieved via “expert-review”, where clinicians can have a dialogue with a domain expert (reviewers) and ask them questions about data entry rules.
Proposing a conceptual framework: social media listening for public health behavior
Existing communications and behavioral theories have been adopted to address health misinformation.
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
The International Classification of Diseases (ICD) system is the international standard for classifying diseases and procedures during a healthcare encounter and is widely used for healthcare reporting and management purposes.
Cohort Characteristics and Factors Associated with Cannabis Use among Adolescents in Canada Using Pattern Discovery and Disentanglement Method
COMPASS is a longitudinal, prospective cohort study collecting data annually from students attending high school in jurisdictions across Canada.
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution
Contextual word embedding models have achieved state-of-the-art results in the lexical substitution task by relying on contextual information extracted from the replaced word within the sentence.
What social media told about us in the time of COVID-19: a scoping review
With the onset of COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption.
Misinformation
Social and Information Networks
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
Contextual word embedding models, such as BioBERT and Bio_ClinicalBERT, have achieved state-of-the-art results in biomedical natural language processing tasks by focusing their pre-training process on domain-specific corpora.
Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data
The gold standard in clinical data capturing is achieved via "expert-review", where clinicians can have a dialogue with a domain expert (reviewers) and ask them questions about data entry rules.
In situ Measurement of Airborne Particle Concentration in a Real Dental Office: Implications for Disease Transmission
The spread and removal of aerosol particles generated from dental procedures in a dental office are measured near the source and at the corner of the office.
