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Found 388 results
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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.
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.
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.
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
Xu J, Xiao Y, Wang WHui, Ning Y, Shenkman EA, Bian J, Wang F.  2022.  Algorithmic fairness in computational medicine.. EBioMedicine. 84:104250.
Brendel M, Su C, Bai Z, Zhang H, Elemento O, Wang F.  2022.  Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review.. Genomics Proteomics Bioinformatics. 20(5):814-835.
Xu Z, Su C, Xiao Y, Wang F.  2022.  Artificial intelligence for COVID-19: battling the pandemic with computational intelligence.. Intell Med. 2(1):13-29.
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.
Tripathi S, Malhotra A, Qazi M, Chou J, Wang F, Barkan S, Hellmers N, Henchcliffe C, Sarva H.  2022.  Clinical Review of Smartphone Applications in Parkinson's Disease.. Neurologist. 27(4):183-193.
Yuan Z, Zhao Z, Sun H, Li J, Wang F, Yu S.  2022.  CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.. J Biomed Inform. 126:103983.
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.
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.
Zang C, Goodman M, Zhu Z, Yang L, Yin Z, Tamas Z, Sharma VMohan, Wang F, Shao N.  2022.  Development of a screening algorithm for borderline personality disorder using electronic health records.. Sci Rep. 12(1):11976.
Zang C, Goodman M, Zhu Z, Yang L, Yin Z, Tamas Z, Sharma VMohan, Wang F, Shao N.  2022.  Development of a screening algorithm for borderline personality disorder using electronic health records.. Sci Rep. 12(1):11976.
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.