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2020
Merkler AE, Parikh NS, Mir S, Gupta A, Kamel H, Lin E, Lantos J, Schenck EJ, Goyal P, Bruce SS et al..  2020.  Risk of Ischemic Stroke in Patients With Coronavirus Disease 2019 (COVID-19) vs Patients With Influenza.. JAMA Neurol.
Rahman A, Schelbaum E, Hoffman K, Díaz I, Hristov H, Andrews R, Jett S, Jackson H, Lee A, Sarva H et al..  2020.  Sex-driven modifiers of Alzheimer risk: A multimodality brain imaging study.. Neurology. 95(2):e166-e178.
Caceres BA, Turchioe MReading, Pho A, Koleck TA, Creber RMasterson, Bakken SB.  2020.  Sexual Identity and Racial/Ethnic Differences in Awareness of Heart Attack and Stroke Symptoms: Findings From the National Health Interview Survey.. Am J Health Promot. :890117120932471.
2021
Ghosh AK, Venkatraman S, Soroka O, Reshetnyak E, Rajan M, An A, Chae JK, Gonzalez C, Prince J, DiMaggio C et al..  2021.  Association between overcrowded households, multigenerational households, and COVID-19: a cohort study.. Public Health. 198:273-279.
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.
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.
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.
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.
Guo Y, Bian J, Chen A, Wang F, Posgai AL, Schatz DA, Shenkman EA, Atkinson MA.  2022.  Incidence Trends of New-Onset Diabetes in Children and Adolescents Before and During the COVID-19 Pandemic: Findings From Florida.. Diabetes. 71(12):2702-2706.
Xu J, Mao C, Hou Y, Luo Y, Binder JL, Zhou Y, Bekris LM, Shin J, Hu M, Wang F et al..  2022.  Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease.. Cell Rep. 41(9):111717.
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.
Tummalapalli SLekha, Cukor D, Bohmart A, Levine DM, Parker TS, Liu F, Perlman A, Srivatana V, Turchioe MReading, Ibrahim SA et al..  2022.  A Mobile Health-Based Survey to Assess COVID-19 Vaccine Intent and Uptake Among Patients on Dialysis.. Kidney Int Rep. 7(3):633-637.
Tummalapalli SLekha, Cukor D, Bohmart A, Levine DM, Parker TS, Liu F, Perlman A, Srivatana V, Turchioe MReading, Ibrahim SA et al..  2022.  A Mobile Health-Based Survey to Assess COVID-19 Vaccine Intent and Uptake Among Patients on Dialysis.. Kidney Int Rep. 7(3):633-637.
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.
Xu J, Guo Y, Wang F, Xu H, Lucero R, Bian J, Prosperi M.  2022.  Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine.. BMJ Open. 12(6):e059715.
Xu Z, Mao C, Su C, Zhang H, Siempos I, Torres LK, Pan D, Luo Y, Schenck EJ, Wang F.  2022.  Sepsis subphenotyping based on organ dysfunction trajectory.. Crit Care. 26(1):197.
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
2023
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.
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.
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.