Population Health Sciences

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Found 174 results

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2022

Mehta B, Ho K, Ling V, Goodman S, Parks M, Ravi B, Banerjee S, Wang F, Ibrahim S, Cram P. 2022. Are Income-based Differences in TKA Use and Outcomes Reduced in a Single-payer System? A Large-database Comparison of the United States and Canada. Clin Orthop Relat Res. 480(9):1636-1645.

Min JY, Simmons W, Banerjee S, Wang F, Williams N, Zhang Y, Reese AB, Mushlin AI, Flory JH. 2022. Association between antidiabetic drug use and the risk of COVID-19 hospitalization in the INSIGHT Clinical Research Network in New York City.. Diabetes Obes Metab. 24(7):1402-1405.

Min JYoung, Williams N, Simmons W, Banerjee S, Wang F, Zhang Y, Reese AB, Mushlin AI, Flory JH. 2022. Baseline haemoglobin A1c and the risk of COVID-19 hospitalization among patients with diabetes in the INSIGHT Clinical Research Network.. Diabet Med. 39(5):e14815.

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.

Liu J, Westblade LF, Wang F, Chadburn A, Fideli R, Craney A, Rand S, Cushing MM, Meng J, Zhao Z et al.. 2022. Distinct Laboratory Test Result Profiles Between SARS-CoV-2 and Seasonable Influenza Infected Patients.. Ann Clin Lab Sci. 52(6):871-879.

Honarvar H, Agarwal C, Somani S, Vaid A, Lampert J, Wanyan T, Reddy VY, Nadkarni GN, Miotto R, Zitnik M et al.. 2022. Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation.. Cardiovasc Digit Health J. 3(5):220-231.

Xu W, Su C, Li Y, Rogers S, Wang F, Chen K, Aseltine R. 2022. Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data.. J Am Med Inform Assoc. 29(3):500-511.

Li Y, Brendel M, Wu N, Ge W, Zhang H, Rietschel P, Quek RGW, Pouliot J-F, Wang F, Harnett J. 2022. Machine learning models for identifying predictors of clinical outcomes with first-line immune checkpoint inhibitor therapy in advanced non-small cell lung cancer.. Sci Rep. 12(1):17670.

2023

Su C, Hou Y, Zhou M, Rajendran S, Maasch JRMA, Abedi Z, Zhang H, Bai Z, Cuturrufo A, Guo W et al.. 2023. Biomedical discovery through the integrative biomedical knowledge hub (iBKH).. iScience. 26(4):106460.

Rajendran S, Xu Z, Pan W, Ghosh A, Wang F. 2023. Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care.. PLOS Digit Health. 2(3):e0000117.

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.

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.

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.

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.

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.

2024

Pan W, Xu Z, Rajendran S, Wang F. 2024. An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.. Patterns (N Y). 5(1):100898.

Bruno AM, Zang C, Xu Z, Wang F, Weiner MG, Guthe N, Fitzgerald M, Kaushal R, Carton TW, Metz TD. 2024. Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysis.. EClinicalMedicine. 73:102654.

Bruno AM, Zang C, Xu Z, Wang F, Weiner MG, Guthe N, Fitzgerald M, Kaushal R, Carton TW, Metz TD. 2024. Association between acquiring SARS-CoV-2 during pregnancy and post-acute sequelae of SARS-CoV-2 infection: RECOVER electronic health record cohort analysis.. EClinicalMedicine. 73:102654.

Zang C, Hou Y, Schenck EJ, Xu Z, Zhang Y, Xu J, Bian J, Morozyuk D, Khullar D, Nordvig AS et al.. 2024. Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts.. Commun Med (Lond). 4(1):130.

Rajendran S, Pan W, Sabuncu MR, Chen Y, Zhou J, Wang F. 2024. Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation.. Patterns (N Y). 5(2):100913.