selected publications
- Building the Model. Archives of pathology & laboratory medicine. 2023 Review GET IT
- Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records. Scientific reports. 2023 Academic Article GET IT
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Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.
Nature communications.
2023
Academic Article
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Times cited: 1 -
Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative.
Research square.
2023
Article
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Times cited: 193 -
Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program.
medRxiv : the preprint server for health sciences.
2023
Article
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Times cited: 82 -
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program.
Journal of general internal medicine.
2023
Academic Article
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Times cited: 5 -
Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.
Environmental advances.
2023
Academic Article
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Times cited: 44 -
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.
Nature medicine.
2022
Academic Article
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Times cited: 16 -
Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER Program.
medRxiv : the preprint server for health sciences.
2022
Article
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Times cited: 51 - Development of a screening algorithm for borderline personality disorder using electronic health records. Scientific reports. 2022 Academic Article GET IT
- Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER Initiative. medRxiv : the preprint server for health sciences. 2022 Article GET IT
- SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. Proceedings. IEEE International Conference on Data Mining. 2021 Academic Article GET IT
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Contrastive learning improves critical event prediction in COVID-19 patients.
Patterns (New York, N.Y.).
2021
Academic Article
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Times cited: 110 - Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. ArXiv. 2021 Article GET IT