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Discovering Phenotypes of Early Onset Heart Failure in Women
- Program: Biomedical Engineering
- Course: EN.580.480 Precision Care Medicine
- Year: 2026
Project Description:
Heart failure and cardiovascular disease are leading causes of mortality and morbidity among women, driving the need for classifying and stratifying the risk of different heart failure phenotypes to reflect underlying pathophysiology. Younger women have been traditionally excluded from classification studies, further motivating our study.
We, at Team Jellyfish, have created a patient-enriched dataset from the Johns Hopkins electronic health record and used unsupervised clustering to discover five phenotypes of heart failure among younger women – atherosclerosis, atrial fibrillation, anemia, pregnancy complications, and cardiomyopathy. Survival analyses show the anemia phenotype at the lowest risk and atrial fibrillation at the highest risk for hospitalization after heart failure diagnosis.
Future directions include validating the phenotypes and hospitalization outcomes on an external dataset and stratifying our phenotypes by demographics and ejection fraction – a key metric for heart failure diagnoses.
Project Photo:
Team Logo Depicting a Jellyfish
Project Poster
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Project Poster Summary:
The poster titled ‘Discovering Phenotypes of Early Onset Heart Failure in Women’ describes the significance of studying heart failure in younger women, and Team Jellyfish’s methodology and results in finding five distinct phenotypes of heart failure from a cohort of women in the Johns Hopkins Electronic Health Record. Survival analyses were also performed – revealing the anemia phenotype to be at the lowest risk and atrial fibrillation phenotype at the highest risk. Our work plays an important role in risk stratification in clinical settings.