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Bhatraju,
Identification of Acute Kidney Injury Subphenotypes with Differing Molecular Signatures and Responses to Vasopressin Therapy.
2019, Pubmed
Bhatraju,
Identification of Acute Kidney Injury Subphenotypes with Differing Molecular Signatures and Responses to Vasopressin Therapy.
2019,
Pubmed
Bhatraju,
Genetic variation implicates plasma angiopoietin-2 in the development of acute kidney injury sub-phenotypes.
2020,
Pubmed
Chaudhary,
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.
2020,
Pubmed
Churpek,
Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury.
2020,
Pubmed
Flechet,
Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.
2019,
Pubmed
Hodgson,
The ICE-AKI study: Impact analysis of a Clinical prediction rule and Electronic AKI alert in general medical patients.
2018,
Pubmed
Moledina,
Variation in Best Practice Measures in Patients With Severe Hospital-Acquired Acute Kidney Injury: A Multicenter Study.
2021,
Pubmed
Selby,
An Organizational-Level Program of Intervention for AKI: A Pragmatic Stepped Wedge Cluster Randomized Trial.
2019,
Pubmed
Soranno,
Artificial Intelligence for AKI!Now: Let's Not Await Plato's Utopian Republic.
2022,
Pubmed
Wilson,
Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial.
2021,
Pubmed
de Boer,
Rationale and design of the Kidney Precision Medicine Project.
2021,
Pubmed
