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E
Ryan AM
,
Burgess JF
,
Pesko MF
,
Borden WB
,
Dimick JB
. 2015.
The early effects of Medicare's mandatory hospital pay-for-performance program.
.
Health Serv Res. 50(1):81-97.
D
Dubin MJ
,
Ilieva IP
,
De Deng Z-
,
Thomas J
,
Cochran A
,
Kravets K
,
Brody BD
,
Christos PJ
,
Kocsis JH
,
Liston C
et al.
. 2019.
A double-blind pilot dosing study of low field magnetic stimulation (LFMS) for treatment-resistant depression (TRD).
.
J Affect Disord. 249:286-293.
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.
Hupert N
,
Person M
,
Hanfling D
,
Traxler RM
,
Bower WA
,
Hendricks K
. 2019.
Development and Performance of a Checklist for Initial Triage After an Anthrax Mass Exposure Event.
.
Ann Intern Med.
He X
,
Wei R
,
Huang Y
,
Chen Z
,
Lyu T
,
Bost S
,
Tong J
,
Li L
,
Zhou Y
,
Li Z
et al.
. 2024.
Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data.
.
Alzheimers Dement (Amst). 16(3):e12613.
He X
,
Wei R
,
Huang Y
,
Chen Z
,
Lyu T
,
Bost S
,
Tong J
,
Li L
,
Zhou Y
,
Li Z
et al.
. 2024.
Develop and validate a computable phenotype for the identification of Alzheimer's disease patients using electronic health record data.
.
Alzheimers Dement (Amst). 16(3):e12613.
Turchioe MReading
,
Heitkemper EM
,
Lor M
,
Burgermaster M
,
Mamykina L
. 2019.
Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes.
.
Int J Med Inform. 130:103941.
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.
LaGrant B
,
Marquis BOyinkan
,
Berg AT
,
Grinspan ZM
. 2020.
Depression and anxiety in children with epilepsy and other chronic health conditions: National estimates of prevalence and risk factors.
.
Epilepsy Behav. 103(Pt A):106828.
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.
C
Kim M-H
,
Chang J
,
Kim WJunsuk
,
Banerjee S
,
Park SMin
. 2018.
Cumulative Dose Threshold for the Chemopreventive Effect of Aspirin Against Gastric Cancer.
.
Am J Gastroenterol. 113(6):845-854.
Grinspan ZM
,
Mytinger JR
,
Baumer FM
,
Ciliberto MA
,
Cohen BH
,
Dlugos DJ
,
Harini C
,
Hussain SA
,
Joshi SM
,
Keator CG
et al.
. 2020.
Crisis Standard of Care: Management of Infantile Spasms during COVID-19.
.
Ann Neurol.
Barocas JA
,
Morgan JR
,
Fiellin DA
,
Schackman BR
,
Yazdi GEftekhari
,
Stein MD
,
Freedberg KA
,
Linas BP
. 2019.
Cost-effectiveness of integrating buprenorphine-naloxone treatment for opioid use disorder into clinical care for persons with HIV/hepatitis C co-infection who inject opioids.
.
Int J Drug Policy.
Behrends CN
,
Eggman AA
,
Gutkind S
,
Bresnahan MP
,
Fluegge K
,
Laraque F
,
Litwin AH
,
Meissner P
,
Shukla SJ
,
Perumalswami PV
et al.
. 2019.
A Cost Reimbursement Model for Hepatitis C Treatment Care Coordination.
.
J Public Health Manag Pract. 25(3):253-261.
Behrends CN
,
Eggman AA
,
Gutkind S
,
Bresnahan MP
,
Fluegge K
,
Laraque F
,
Litwin AH
,
Meissner P
,
Shukla SJ
,
Perumalswami PV
et al.
. 2019.
A Cost Reimbursement Model for Hepatitis C Treatment Care Coordination.
.
J Public Health Manag Pract. 25(3):253-261.
Yu H
,
Chen Z
,
Ballman KV
,
Watson MA
,
Govindan R
,
Lanc I
,
Beer DG
,
Bueno R
,
Chirieac LR
,
Chui MHerman
et al.
. 2019.
Correlation of PD-L1 Expression with Tumor Mutation Burden and Gene Signatures for Prognosis in Early-Stage Squamous Cell Lung Carcinoma.
.
J Thorac Oncol. 14(1):25-36.
Yu H
,
Chen Z
,
Ballman KV
,
Watson MA
,
Govindan R
,
Lanc I
,
Beer DG
,
Bueno R
,
Chirieac LR
,
Chui MHerman
et al.
. 2019.
Correlation of PD-L1 Expression with Tumor Mutation Burden and Gene Signatures for Prognosis in Early-Stage Squamous Cell Lung Carcinoma.
.
J Thorac Oncol. 14(1):25-36.
Yu H
,
Chen Z
,
Ballman KV
,
Watson MA
,
Govindan R
,
Lanc I
,
Beer DG
,
Bueno R
,
Chirieac LR
,
Chui MHerman
et al.
. 2019.
Correlation of PD-L1 Expression with Tumor Mutation Burden and Gene Signatures for Prognosis in Early-Stage Squamous Cell Lung Carcinoma.
.
J Thorac Oncol. 14(1):25-36.
Yu H
,
Chen Z
,
Ballman KV
,
Watson MA
,
Govindan R
,
Lanc I
,
Beer DG
,
Bueno R
,
Chirieac LR
,
Chui MHerman
et al.
. 2019.
Correlation of PD-L1 Expression with Tumor Mutation Burden and Gene Signatures for Prognosis in Early-Stage Squamous Cell Lung Carcinoma.
.
J Thorac Oncol. 14(1):25-36.
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.
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