Jie Xu

Florida Museum of Natural History — United States

Computer Science · Physical Sciences

23h-index4.1kcitations120works3.92yr avg
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Research Topics

Machine Learning in Healthcare(20), COVID-19 Clinical Research Studies(12), Long-Term Effects of COVID-19(12), Dementia and Cognitive Impairment Research(8), COVID-19 and Mental Health(6)

Publications119 total

Development and Validation of an Electronic Health Record–Based Algorithm for Identifying Patients With Long-Term Opioid Therapy: Cross-Sectional Study
Journal of Medical Internet Research·2025Open Access
Predicting Alzheimer’s Disease Diagnosis, a Decade or more Years before Onset using the Electronic Health Record and Random Forest Machine Learning Models
2025Open Access
From image to report: automating lung cancer screening interpretation and reporting with vision-language models
Journal of Biomedical Informatics·2025· 1 cited
Multimodal Prediction of Renal Tumor Malignancy from Radiology Reports and Structured Electronic Health Records: Retrospective Cohort Study (Preprint)
2025Open Access
Automated Recognition Of Dentists’ Poor Postures Using Artificial Intelligence
International Dental Journal·2025Open Access
Generative AI Meets Wireless Sensing: Towards Wireless Foundation Model
arXiv (Cornell University)·2025Open Access
Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records
Studies in health technology and informatics·2025Open Access
Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study
JMIR Medical Informatics·2025· 1 citedOpen Access
Non-invasive hemodynamic monitoring and cardiac preload assessment in severely injured children in the emergency department
BMC Emergency Medicine·2025Open Access
A scoping review and evidence gap analysis of clinical AI fairness
npj Digital Medicine·2025· 21 citedOpen Access
Feature selection based on fuzzy joint entropy and feature interaction for label distribution learning
Information Processing & Management·2025· 6 cited
[Construction and discussion of risk prediction model for allergic asthma in children].
PubMed·2025
Determination of pediatric asthma severity using retrospective electronic health record prescription data: an analysis before and after the 2020 national asthma education and prevention program guideline update
Journal of Asthma·2025Open Access
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study
JMIR Cancer·2025· 2 citedOpen Access
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms
arXiv (Cornell University)·2025Open Access
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory
Nature Communications·2025· 9 citedOpen Access
COMPAC: COMputable Phenotype for Asthma in Children
2025Open Access
Development and Validation of an Electronic Health Record–Based Algorithm for Identifying Patients With Long-Term Opioid Therapy: Cross-Sectional Study (Preprint)
2025
Aberrant neurodevelopment caused by GD3 synthase deficiency and its restoration of sea urchin ganglioside: insights from a CRISPR/Cas9-mediated <em>st8sia1</em> knockout zebrafish
Food Science and Human Wellness·2025Open Access
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Jiang Bian(25), Fei Wang(20), Zhenxing Xu(9), Chengxi Zang(8), Elizabeth Shenkman(8), Benjamin S. Glicksberg(7), Yongkang Zhang(5), Edward J. Schenck(5), Mark G. Weiner(5), Thomas W. Carton(5), Rainu Kaushal(5), Prakash Adekkanattu(5), Pascal Brandt(5), Yuan Luo(5), Luke V. Rasmussen(5), Jyotishman Pathak(5), Dmitry Morozyuk(4), Dhruv Khullar(4), Anna S. Nordvig(4), Russell L. Rothman(4)