Population Health Sciences

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2023

Zang C, Zhang Y, Xu J, Bian J, Morozyuk D, Schenck EJ, Khullar D, Nordvig AS, Shenkman EA, Rothman RL et al.. 2023. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.. Nat Commun. 14(1):1948.

Zang C, Zhang Y, Xu J, Bian J, Morozyuk D, Schenck EJ, Khullar D, Nordvig AS, Shenkman EA, Rothman RL et al.. 2023. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.. Nat Commun. 14(1):1948.

Zhang H, Zang C, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Zhang Y, Nordvig AS et al.. 2023. Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.. Nat Med. 29(1):226-235.

Zhang H, Zang C, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Zhang Y, Nordvig AS et al.. 2023. Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.. Nat Med. 29(1):226-235.

Varma JK, Zang C, Carton TW, Block JP, Khullar DJ, Zhang Y, Weiner MG, Rothman RL, Schenck EJ, Xu Z et al.. 2023. 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.

Varma JK, Zang C, Carton TW, Block JP, Khullar DJ, Zhang Y, Weiner MG, Rothman RL, Schenck EJ, Xu Z et al.. 2023. 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.

Zhang Y, Hu H, Fokaidis V, V CLewis, Xu J, Zang C, Xu Z, Wang F, Koropsak M, Bian J et al.. 2023. Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.. Environ Adv. 11:100352.

Zhang Y, Hu H, Fokaidis V, V CLewis, Xu J, Zang C, Xu Z, Wang F, Koropsak M, Bian J et al.. 2023. Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.. Environ Adv. 11:100352.

Mehta B, Goodman S, DiCarlo E, Jannat-Khah D, J Gibbons AB, Otero M, Donlin L, Pannellini T, Robinson WH, Sculco P et al.. 2023. Machine learning identification of thresholds to discriminate osteoarthritis and rheumatoid arthritis synovial inflammation.. Arthritis Res Ther. 25(1):31.

Adekkanattu P, Rasmussen LV, Pacheco JA, Kabariti J, Stone DJ, Yu Y, Jiang G, Luo Y, Brandt PS, Xu Z et al.. 2023. Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.. Sci Rep. 13(1):294.

Khullar D, Zhang Y, Zang C, Xu Z, Wang F, Weiner MG, Carton TW, Rothman RL, Block JP, Kaushal R. 2023. Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program.. J Gen Intern Med. :1-10.

Khullar D, Zhang Y, Zang C, Xu Z, Wang F, Weiner MG, Carton TW, Rothman RL, Block JP, Kaushal R. 2023. Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program.. J Gen Intern Med. :1-10.

Zang C, Hou Y, Schenck E, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Nordvig A et al.. 2023. Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative.. Res Sq.

Zang C, Hou Y, Schenck E, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Nordvig A et al.. 2023. Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative.. Res Sq.

2022

Lin M, Hou B, Liu L, Gordon M, Kass M, Wang F, Van Tassel SH, Peng Y. 2022. Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.. Sci Rep. 12(1):14080.

Konnaris MA, Brendel M, Fontana MAlan, Otero M, Ivashkiv LB, Wang F, Bell RD. 2022. Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges.. Arthritis Res Ther. 24(1):68.

Zeng X, Wang F, Luo Y, Kang S-G, Tang J, Lightstone FC, Fang EF, Cornell W, Nussinov R, Cheng F. 2022. Deep generative molecular design reshapes drug discovery.. Cell Rep Med. 3(12):100794.

Brandt PS, Pacheco JA, Adekkanattu P, Sholle ET, Abedian S, Stone DJ, Knaack DM, Xu J, Xu Z, Peng Y et al.. 2022. Design and validation of a FHIR-based EHR-driven phenotyping toolbox.. J Am Med Inform Assoc. 29(9):1449-1460.

Kline A, Wang H, Li Y, Dennis S, Hutch M, Xu Z, Wang F, Cheng F, Luo Y. 2022. Multimodal machine learning in precision health: A scoping review.. NPJ Digit Med. 5(1):171.

Lin M, Liu L, Gorden M, Kass M, Van Tassel S, Wang F, Peng Y. 2022. Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.. Mach Learn Med Imaging. 13583:436-445.

Lee J, Wanyan T, Chen Q, Keenan TDL, Glicksberg BS, Chew EY, Lu Z, Wang F, Peng Y. 2022. Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.. Mach Learn Med Imaging. 13583:11-20.

Lin M, Liu L, Gordon M, Kass M, Wang F, Van Tassel SH, Peng Y. 2022. Primary Open-Angle Glaucoma Diagnosis from Optic Disc Photographs Using a Siamese Network.. Ophthalmol Sci. 2(4):100209.

Chen Z, Zhang H, George TJ, Guo Y, Prosperi M, Guo J, Braithwaite D, Wang F, Kibbe W, Wagner L et al.. 2022. Simulating Colorectal Cancer Trials Using Real-World Data.. JCO Clin Cancer Inform. 6:e2100195.

Wanyan T, Lin M, Klang E, Menon KM, Gulamali FF, Azad A, Zhang Y, Ding Y, Wang Z, Wang F et al.. 2022. Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality Prediction.. ACM BCB. 2022

2020

Tummalapalli SLekha, Zelnick LR, Andersen AH, Christenson RH, deFilippi CR, Deo R, Go AS, He J, Ky B, Lash JP et al.. 2020. Association of Cardiac Biomarkers With the Kansas City Cardiomyopathy Questionnaire in Patients With Chronic Kidney Disease Without Heart Failure.. J Am Heart Assoc. 9(13):e014385.