Robert Chew

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

Turning narrative descriptions of individual behavior into network visualization and analysis: Example of terrorist group dynamics

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

Collecting and using always-on location data in surveys

Predicting age groups of Twitter users based on language and metadata features

SMART: An open source data labeling platform for supervised learning

The public health impact of different microbiological criteria approaches for salmonella in chicken parts

Annotation sensitivity: Training data collection methods affect model performance

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

Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure

Classification of Twitter users who tweet about e-cigarettes

Improving labeling through social science insights: Results and research agenda

Machine learning for medical coding in healthcare surveys

Image sequence analysis via GRU and attention for trachomatous trichiasis classification

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

Anesthesia staffing models and geographic prevalence post-medicare CRNA/physician exemption policy

Assessing target audiences of digital public health campaigns: A computational approach

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

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

Making evidence actionable: Interactive dashboards, bayes, and health care innovation