Heather Lee

Research Fellow, Mass General Brigham

1 active project

Covid Mental Health

There is a rapidly growing body of literature--both national and international--reporting increased incidence of mental health conditions due to the COVID-19 pandemic. However, most of the risk and protective factors reported by recent COVID studies are known predictors of major…

Scientific Questions Being Studied

There is a rapidly growing body of literature--both national and international--reporting increased incidence of mental health conditions due to the COVID-19 pandemic. However, most of the risk and protective factors reported by recent COVID studies are known predictors of major psychiatric conditions. Further, most prior studies focus on the association of one risk factor with mental health risk at a time using linear models and do not examine multiple risk factors concurrently. More flexible machine learning (ML) approaches that can automatically detect main and interaction effects may provide novel insights for psychopathology by capturing the hidden nonlinear dependence between risk/protective characteristics.

Project Purpose(s)

  • Disease Focused Research (disease of mental health)

Scientific Approaches

We plan to leverage interpretable ML models to discover actionable insights into the factors associated with psychological vulnerability and resilience using high-dimensional data including sociodemographic, clinical, survey, and lifestyle features.

Anticipated Findings

We expect that the findings from our study may help discover new insights into predictors of psychological vulnerability and resilience that may be unique to the period of the COVID-19 pandemic.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • zhaowen liu - Research Fellow, Mass General Brigham
  • Karmel Choi - Early Career Tenure-track Researcher, Mass General Brigham
  • Hyunjoon Lee - Project Personnel, Mass General Brigham
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