Machine Learning

A Novel Patient-Facing Mobile Platform to Collect and Implement Patient-Reported Outcomes and Voice Biomarkers in Underserved Adult Patients with Asthma


This research will enhance an existing mobile platform to support self-management and shared decision making for those with asthma. Researchers will use patient-reported outcomes and calculate a Respiratory Symptoms Risk Score using voice biomarkers, with the aim of improving outcomes. 

Grant Number
R21 HS028892
Principal Investigator(s)

Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: Opportunities, challenges, and considerations.

Principal Investigator

Identifying high need primary care patients using nursing knowledge and machine learning methods.

Principal Investigator

Optimal acute kidney injury algorithm for detecting acute kidney injury at emergency department presentation.

Principal Investigator