Hayoung Jeong

Journal article medRxiv · June 24, 2026 BACKGROUND: Despite evidence that early intervention can prevent or delay progression to type 2 diabetes, more than 80% of individuals with prediabetes in the United States remain undiagnosed, underscoring the need for scalable strategies to increase uptak ... Full text Link to item Cite

Impact of Daylight Saving Time on Physical Activity Patterns.

Journal article Nature health · April 2026 Daylight Saving Time (DST) remains contentious: some policymakers highlight behavioral benefits, while others emphasize health risks. We estimated the behavioral and physiological impacts of DST using longitudinal Fitbit measures from the NIH All of Us< ... Full text Cite

Data from the All of Us research program reinforces existence of activity inequality.

Journal article NPJ digital medicine · January 2025 Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health ... Full text Cite

Tree-based classification model for Long-COVID infection prediction with age stratification using data from the National COVID Cohort Collaborative.

Journal article JAMIA Open · December 2024 OBJECTIVES: We propose and validate a domain knowledge-driven classification model for diagnosing post-acute sequelae of SARS-CoV-2 infection (PASC), also known as Long COVID, using Electronic Health Records (EHRs) data. MATERIALS AND METHODS: We developed ... Full text Link to item Cite

Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic.

Journal article Frontiers in digital health · January 2024 Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid ad ... Full text Cite

The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program.

Journal article JMIR mHealth and uHealth · November 2023 Full text Cite

Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients.

Journal article Sci Rep · September 20, 2023 Unsupervised clustering of intensive care unit (ICU) medications may identify unique medication clusters (i.e., pharmacophenotypes) in critically ill adults. We performed an unsupervised analysis with Restricted Boltzmann Machine of 991 medications profile ... Full text Link to item Cite

Pivotal challenges in artificial intelligence and machine learning applications for neonatal care.

Journal article Semin Fetal Neonatal Med · October 2022 Clinical decision support systems (CDSS) that are developed based on artificial intelligence and machine learning (AI/ML) approaches carry transformative potentials in improving the way neonatal care is practiced. From the use of the data available from el ... Full text Link to item Cite