Jessica G. Young

As a dedicated researcher at New York University, Jessica G. Young has developed a specialized expertise in Causal Inference, Bayesian Methods, Epidemiology, Statistical Modeling, Health Outcomes, Treatment Effects, Observational Data. A representative example of their recent contribution is the study titled "Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study", which offers critical insights into the dynamics of Causal Inference and Bayesian Methods. Additional work such as "Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study (Preprint)" further demonstrates their commitment to advancing knowledge in this domain.