Robert Chew

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Leveraging investments, promoting transparency and mobilising communities: A qualitative analysis of news articles about how the Ebola outbreak informed COVID-19 response in five African countries

Effect of Paxlovid treatment during Acute COVID-19 on long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER consortia

Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID

Data extraction for evidence synthesis using a large language model: A proof-of-concept study

Performance of two large language models for data extraction in evidence synthesis

Finding long-COVID: Temporal topic modeling of electronic health records from the N3C and RECOVER programs

Order effects in annotation tasks: Further evidence of annotation sensitivity

Annotation sensitivity: Training data collection methods affect model performance

Exploring whether mental health crisis text conversations that include discussion of firearms differ from those without firearms

Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program

Improving text classification with Boolean retrieval for rare categories: A case study identifying firearm violence conversations in the Crisis Text Line database

An investigation of age-differentiated conversations about electronic nicotine delivery systems on Reddit

The use of crisis services following the mass school shooting in Uvalde, Texas: Quasi-experimental event study

Improving labeling through social science insights: Results and research agenda

Dug: A semantic search engine leveraging peer-reviewed knowledge to query biomedical data repositories

Identifying electronic nicotine delivery system brands and flavors on instagram: Natural language processing analysis

Subgroups of failure after surgery for pelvic organ prolapse and associations with quality of life outcomes: A longitudinal cluster analysis

Using image-recognition software to strengthen the capacity of community health workers

Machine learning for medical coding in healthcare surveys

Image sequence analysis via GRU and attention for trachomatous trichiasis classification