Georgetown University · Social ScienceGresenz Machine Learning Lab
Carole R Gresenz · Washington, District of Columbia
Research Focus
Dr. Carole Gresenz’s lab focuses on identifying early signs of Alzheimer's disease and related dementias using financial data. By analyzing credit data and combining it with Medicare records, the lab develops machine learning algorithms to predict the at-risk population for these conditions. The goal is to advance early diagnosis, which is crucial for better management and support of individuals facing these diseases.
Alzheimer's Diseasemachine learningcredit dataearly diagnosisfinancial analysisdementiaeconomic outcomesrisk identification
Research Aims
3AIM 01Estimate the financial impacts of early-stage Alzheimer's disease on individuals
AIM 02Develop machine learning algorithms to identify people at risk for dementia
AIM 03Assess the effectiveness of algorithms with new Medicare data
Skills the Lab Values
data analysismachine learning algorithmscredit data analysisMedicare claims evaluationstatistical modelingdatabase managementprogramming in Pythondata visualizationfinancial outcome assessment
Output against the department
Publications121bottom 49% of dept.39th of 77
this lab
most publishedleast published
Citations1.9kbottom 38% of dept.48th of 77
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.