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Towards Understanding the Role of Gender in Deploying Social Media-Based Mental Health Surveillance Models
Spurred by advances in machine learning and natural language processing, developing social media-based mental health surveillance models has received substantial recent attention.
AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures
We outline the myriad data sources needed to construct informative Risk Profiles and propose a template-based methodology for collating risk information into a standard, yet flexible, structure.
General Identification of Dynamic Treatment Regimes Under Interference
In many applied fields, researchers are often interested in tailoring treatments to unit-level characteristics in order to optimize an outcome of interest.
Identification and Estimation of Causal Effects from Dependent Data
The assumption that data samples are independent and identically distributed (iid) is standard in many areas of statistics and machine learning.
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale
In healthcare, patient risk stratification models are often learned using time-series data extracted from electronic health records.
