Jennifer E. Ho

According to our database, Jennifer E. Ho authored at least 3 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unsupervised deep learning of electrocardiograms enables scalable human disease profiling.

Samuel F. Friedman, Shaan Khurshid, Rachael A. Venn, Xin Wang, Nathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, Seung Hoan Choi, Christopher Reeder, James P. Pirruccello, Pulkit Singh, Emily S. Lau, Anthony A. Philippakis, Christopher D. Anderson, Mahnaz Maddah, Puneet Batra, Patrick T. Ellinor, Jennifer E. Ho, Steven A. Lubitz

npj Digit. Medicine, 2025

A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram.

Mostafa A. Al-Alusi, Samuel F. Friedman, Shinwan Kany, Joel T. Rämö, Daniel Pipilas, Pulkit Singh, Christopher Reeder, Shaan Khurshid, James P. Pirruccello, Mahnaz Maddah, Jennifer E. Ho, Patrick T. Ellinor

npj Digit. Medicine, 2025

2022

Cohort design and natural language processing to reduce bias in electronic health records research.

Shaan Khurshid, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, Nathaniel Diamant, Jonathan W. Cunningham, Ashby C. Turner, Emily S. Lau, Julian S. Haimovich, Mostafa A. Al-Alusi, Xin Wang, Marcus D. R. Klarqvist, Jeffrey M. Ashburner, Christian Diedrich, Mercedeh Ghadessi, Johanna Mielke, Hanna M. Eilken, Alice McElhinney, Andrea Derix, Steven J. Atlas, Patrick T. Ellinor, Anthony A. Philippakis, Christopher D. Anderson, Jennifer E. Ho, Puneet Batra, Steven A. Lubitz

npj Digit. Medicine, 2022