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Calibration drift in regression and machine learning models for acute kidney injury

Journal of the American Medical Informatics Association : JAMIA, 2017-11, Vol.24 (6), p.1052-1061

2017

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Choice of Reference Serum Creatinine in Defining Acute Kidney Injury

Nephron (2015), 2015-01, Vol.131 (2), p.107-112

2015

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Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction

Nature communications, 2020-11, Vol.11 (1), p.5668-5668, Article 5668

2020

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Prognostic models will be victims of their own success, unless

Journal of the American Medical Informatics Association : JAMIA, 2019-12, Vol.26 (12), p.1645-1650

2019

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Characterizing treatment pathways at scale using the OHDSI network

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7329-7336

2016

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Medical Devices in the Real World

The New England journal of medicine, 2018-02, Vol.378 (7), p.595-597

2018

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Automated identification of postoperative complications within an electronic medical record using natural language processing

JAMA : the journal of the American Medical Association, 2011-08, Vol.306 (8), p.848

2011

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Long-Term Safety with Sling Mesh Implants for Stress Incontinence

The Journal of urology, 2021-01, Vol.205 (1), p.183-190

2021

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Contemporary Incidence, Predictors, and Outcomes of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions

JACC. Cardiovascular interventions, 2014, Vol.7 (1), p.1-9

2014

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Hypoglycemia and Clinical Outcomes in Patients With Diabetes Hospitalized in the General Ward

Diabetes care, 2009-07, Vol.32 (7), p.1153-1157

2009

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Sustainable deployment of clinical prediction tools-a 360° approach to model maintenance

Journal of the American Medical Informatics Association : JAMIA, 2024-04, Vol.31 (5), p.1195-1198

2024

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A framework for understanding label leakage in machine learning for health care

Journal of the American Medical Informatics Association : JAMIA, 2023-12, Vol.31 (1), p.274-280

2023

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Contemporary incidence, predictors, and outcomes of acute kidney injury in patients undergoing percutaneous coronary interventions: insights from the NCDR Cath-PCI registry

JACC. Cardiovascular interventions, 2014-01, Vol.7 (1), p.1-9

2014

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A nonparametric updating method to correct clinical prediction model drift

Journal of the American Medical Informatics Association : JAMIA, 2019-12, Vol.26 (12), p.1448-1457

2019

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Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult Health

Journal of adolescent health, 2020-08, Vol.67 (2S), p.S4-S6

2020

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The D2.mdx mouse as a preclinical model of the skeletal muscle pathology associated with Duchenne muscular dystrophy

Scientific reports, 2020-08, Vol.10 (1), p.14070-14070, Article 14070

2020

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Cluster Randomized Trial of a Personalized Clinical Decision Support Intervention to Improve Statin Prescribing in Patients With Atherosclerotic Cardiovascular Disease

Circulation (New York, N.Y.), 2023-05, Vol.147 (18), p.1411-1413

2023

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Estimating Baseline Kidney Function in Hospitalized Patients with Impaired Kidney Function

Clinical journal of the American Society of Nephrology, 2012-05, Vol.7 (5), p.712-719

2012

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Challenges and Opportunities for Secondary Use of Observational Data Following an EHR Transition

Journal of general internal medicine : JGIM, 2023-10, Vol.38 (Suppl 4), p.943-945

2023

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Inpatient nurses' preferences and decisions with risk information visualization

Journal of the American Medical Informatics Association : JAMIA, 2023-12, Vol.31 (1), p.61-69

2023

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Predictors of Recurrent AKI

Journal of the American Society of Nephrology, 2016-04, Vol.27 (4), p.1190-1200

2016

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Enhancing trust in AI through industry self-governance

Journal of the American Medical Informatics Association : JAMIA, 2021-07, Vol.28 (7), p.1582-1590

2021

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Outpatient Nephrology Referral Rates after Acute Kidney Injury

Journal of the American Society of Nephrology, 2012-02, Vol.23 (2), p.305-312

2012

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Timing of Recovery From Moderate to Severe AKI and the Risk for Future Loss of Kidney Function

American journal of kidney diseases, 2020-02, Vol.75 (2), p.204-213

2020

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Calibration drift in regression and machine learning models for acute kidney injury

Choice of Reference Serum Creatinine in Defining Acute Kidney Injury

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction

Prognostic models will be victims of their own success, unless

Characterizing treatment pathways at scale using the OHDSI network

Medical Devices in the Real World

Automated identification of postoperative complications within an electronic medical record using natural language processing

Long-Term Safety with Sling Mesh Implants for Stress Incontinence

Contemporary Incidence, Predictors, and Outcomes of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions

Hypoglycemia and Clinical Outcomes in Patients With Diabetes Hospitalized in the General Ward

Sustainable deployment of clinical prediction tools-a 360° approach to model maintenance

A framework for understanding label leakage in machine learning for health care

Contemporary incidence, predictors, and outcomes of acute kidney injury in patients undergoing percutaneous coronary interventions: insights from the NCDR Cath-PCI registry

A nonparametric updating method to correct clinical prediction model drift

Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult Health

Utilization Rates of SGLT2 Inhibitors and GLP-1 Receptor Agonists and Their Facility-Level Variation Among Patients With Atherosclerotic Cardiovascular Disease and Type 2 Diabetes: Insights From the Department of Veterans Affairs

The D2.mdx mouse as a preclinical model of the skeletal muscle pathology associated with Duchenne muscular dystrophy

Cluster Randomized Trial of a Personalized Clinical Decision Support Intervention to Improve Statin Prescribing in Patients With Atherosclerotic Cardiovascular Disease

Estimating Baseline Kidney Function in Hospitalized Patients with Impaired Kidney Function

Challenges and Opportunities for Secondary Use of Observational Data Following an EHR Transition

Inpatient nurses' preferences and decisions with risk information visualization

Predictors of Recurrent AKI

Enhancing trust in AI through industry self-governance

Outpatient Nephrology Referral Rates after Acute Kidney Injury

Timing of Recovery From Moderate to Severe AKI and the Risk for Future Loss of Kidney Function

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