AMMI

Analytics & Machine-Learning for Maternal-Health Interventions

The AMMI project aims to tackle the elevated risk of maternal mortality in African-American women in the United States, by taking into account the social determinants on health and clinical factors that may contribute to such a risk. It is a collaborative effort between researchers at UNC-Chapel Hill, Duke, Wake Forest, and Emory University.

The project aims to:

  1. Clarify and track contributions of biological, clinical, and SDoH factors toward specific maternal morbidities associated with eventual mortality.
  2. Conduct efficient and accurate risk predictions to determine whether patients fall into defined target risk groups.
  3. Translate these risk predictions into interventions appropriate for providers, patients, and community support organizations.

Contact Information:

Leading Professor: Javed Mostafa – jm@unc.edu

Project Manager: Karl Shieh – kshieh12@email.unc.edu