UMCUniversity of Massachusetts Chan Medical School · Mathematics & Statistics
Center for Health Equity and Machine Learning
Feifan Liu · Worcester, Massachusetts
Research Focus
Dr. Feifan Liu's lab focuses on using artificial intelligence and machine learning to improve cardiovascular disease risk prediction, particularly for populations that face health disparities. By integrating social determinants of health with clinical factors, the lab aims to create models that can guide better health interventions and promote health equity. Their work is relevant not only for researchers but also for practitioners looking to address health inequalities in their communities.
Health equityCardiovascular diseaseSocial determinants of healthMachine learningArtificial intelligenceRisk predictionPublic health
Research Aims
3AIM 01Develop an AI-powered model to predict cardiovascular disease risk incorporating social and clinical factors.
AIM 02Enhance the model's fairness and interpretability using advanced algorithmic techniques.
AIM 03Assess the generalizability of the AI model across different healthcare systems.
Skills the Lab Values
Machine LearningData AnalysisStatistical ModelingData VisualizationPredictive AnalyticsPythonDeep LearningHealth Equity MetricsClinical Data Analysis
Output against the department
Publications167bottom 33% of dept.87th of 131
this lab
most publishedleast published
Citations3.7kbottom 27% of dept.95th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.