Population Health Sciences

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Ghomrawi HMK, Mancuso CA, Dunning A, Valle AGonzalez D, Alexiades M, Cornell C, Sculco T, Bostrom M, Mayman D, Marx RG et al..  2017.  Do Surgeon Expectations Predict Clinically Important Improvements in WOMAC Scores After THA and TKA? Clin Orthop Relat Res. 475(9):2150-2158.
Bishop TF, Ryan MSmith, McCullough CM, Shih SC, Casalino LP, Ryan AM.  2015.  Do provider attitudes about electronic health records predict future electronic health record use? Healthc (Amst). 3(1):5-11.
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.
Sharma H, Mao C, Zhang Y, Vatani H, Yao L, Zhong Y, Rasmussen L, Jiang G, Pathak J, Luo Y.  2019.  Developing a portable natural language processing based phenotyping system.. BMC Med Inform Decis Mak. 19(Suppl 3):78.
Krebs E, Enns B, Wang L, Zang X, Panagiotoglou D, Del Rio C, Dombrowski J, Feaster DJ, Golden M, Granich R et al..  2019.  Developing a dynamic HIV transmission model for 6 U.S. cities: An evidence synthesis.. PLoS One. 14(5):e0217559.
Krebs E, Enns B, Wang L, Zang X, Panagiotoglou D, Del Rio C, Dombrowski J, Feaster DJ, Golden M, Granich R et al..  2019.  Developing a dynamic HIV transmission model for 6 U.S. cities: An evidence synthesis.. PLoS One. 14(5):e0217559.
Al'Aref SJ, Singh G, van Rosendael AR, Kolli KK, Ma X, Maliakal G, Pandey M, Lee BC, Wang J, Xu Z et al..  2019.  Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.. J Am Heart Assoc. 8(5):e011160.
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.
Kaur S, Silver G, Samuels S, Rosen AH, Weiss M, Mauer EA, Gerber LM, Greenwald BM, Traube C.  2020.  Delirium and Developmental Disability: Improving Specificity of a Pediatric Delirium Screen.. Pediatr Crit Care Med. 21(5):409-414.
Kaur S, Silver G, Samuels S, Rosen AH, Weiss M, Mauer EA, Gerber LM, Greenwald BM, Traube C.  2020.  Delirium and Developmental Disability: Improving Specificity of a Pediatric Delirium Screen.. Pediatr Crit Care Med. 21(5):409-414.
Su C, Xu Z, Pathak J, Wang F.  2020.  Deep learning in mental health outcome research: a scoping review.. Transl Psychiatry. 10(1):116.
Zhang X, Chou J, Liang J, Xiao C, Zhao Y, Sarva H, Henchcliffe C, Wang F.  2019.  Data-Driven Subtyping of Parkinson's Disease Using Longitudinal Clinical Records: A Cohort Study.. Sci Rep. 9(1):797.
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.
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.