Accuracy of human-assigned and pyAKI-generated labels across different acute kidney injury stages at each point in time.

Accuracy of human-assigned and pyAKI-generated labels across different acute kidney injury stages at each point in time.

<p>AKI = Acute kidney injury, UO = urine output, SCr = serum creatinine.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Christian Porschen (12967868) (author)
مؤلفون آخرون:	Jan Ernsting (5439722) (author), Paul Brauckmann (20501244) (author), Raphael Weiss (15237811) (author), Till Würdemann (20501247) (author), Hendrik Booke (11191483) (author), Wida Amini (20501250) (author), Ludwig Maidowski (16735858) (author), Benjamin Risse (275593) (author), Tim Hahn (341356) (author), Thilo von Groote (13959036) (author)
منشور في:	2025
الموضوعات:	Medicine Genetics Molecular Biology Biotechnology Science Policy Infectious Diseases Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified medical information mart introducing different interpretations improving global outcomes implement classification algorithms commonly used database urinary output data data scientists working pipeline &# 8217 work introduces pyaki pyaki &# 8212 project introduces pyaki source pipeline addressing xlink "> validation intensive care units critically ill patients critical care research consistent aki classification comparative analysis revealed time series data standardized data model high accuracy make open source solution implementing kdigo criteria xlink "> time series pyaki pipeline intensive care comparative analysis source solution aki data source tools high accuracy resource intensive research applications pyaki implements comprehensive solution clinical research valuable tool serum creatinine robust performance requires researchers kidney disease kdigo criteria human labels frequent complication first open ensure reproducibility edge cases diagnostic algorithm diagnostic accuracy aki diagnosis
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مواد مشابهة

pyAKI data model.
حسب: Christian Porschen (12967868)
منشور في: (2025)

Workflow of validating the pyAKI pipeline.
حسب: Christian Porschen (12967868)
منشور في: (2025)

Overall accuracy of human vs. pyAKI generated labels by classification method.
حسب: Christian Porschen (12967868)
منشور في: (2025)

Comparison between pyAKI’s generated labels and the labels generated by the MIMIC-code implementation of the KDIGO criteria.
حسب: Christian Porschen (12967868)
منشور في: (2025)

Staging of AKI according to KDIGO criteria.
حسب: Christian Porschen (12967868)
منشور في: (2025)

The strongest associations of medical procedure for HA-AKI, CA-AKI, and No-AKI cohort.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

Baseline characteristics of the No Acute Kidney Injury (No-AKI) vs Hospital Acquired Acute Kidney Injury (HA-AKI) and No-AKI vs Community Acquired Acute Kidney Injury (CA-AKI) among the chronic kidney disease patients.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

Network metrics in the comorbidity network of No Acute Kidney Injury (No-AKI) vs Hospital Acquired Acute Kidney Injury (HA-AKI) and No-AKI vs Community Acquired Acute Kidney Injury (CA-AKI) among the chronic kidney disease patients.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

AKI Grades by variants, AKI are graded according to KDIGO guideline.
حسب: Danyang Dai (22656364)
منشور في: (2025)

Characteristics of full cohort and univariate analyses of patients developing AKI (cases) versus those without AKI (controls).
حسب: Nicholas J. Douville (2312092)
منشور في: (2024)

AKI Positive Percentage by Countries and Variants.
حسب: Danyang Dai (22656364)
منشور في: (2025)

Omicron impact on AKI Collaborators Affiliations.
حسب: Danyang Dai (22656364)
منشور في: (2025)

Nomogram to predict the incidence of postoperative AKI in patients undergoing cardiac surgery.
حسب: Yang Xu (178421)
منشور في: (2025)

Multivariable Logistic Regression Outputs: Association between Omicron and AKI.
حسب: Danyang Dai (22656364)
منشور في: (2025)

SACrA score to predict the initiation of renal replacement therapy in critically ill patients: a single-center retrospective study
حسب: Ginga Suzuki (11051245)
منشور في: (2024)

Predictive performance of CSA-AKI’s nine predictive modeling systems in a three -group cohort.
حسب: Yang Xu (178421)
منشور في: (2025)

Performance of urinary C-C motif chemokine ligand 14 and the renal resistive index in predicting persistent AKI
حسب: You Fu (6490688)
منشور في: (2024)

Association between ACAG and AKI risk and in-hospital mortality in AP patients.
حسب: Jiaxiang Bian (16499184)
منشور في: (2025)

Additional file 3 of Uncovering molecular markers of the microvascular endothelial response in sepsis-associated acute kidney injury: a translational study in mice and humans
حسب: T. J. van der Aart (22172235)
منشور في: (2025)

Additional file 1 of Uncovering molecular markers of the microvascular endothelial response in sepsis-associated acute kidney injury: a translational study in mice and humans
حسب: T. J. van der Aart (22172235)
منشور في: (2025)

ROC curve for [TIMP2]• [IGFBP7] and joint prediction model predict the incidence of AKI in all people and three cohorts (stroke, sepsis and cardiac surgery) differing in AKI etiology.
حسب: Chaoyun Jiang (22411268)
منشور في: (2025)

Data_Sheet_1_Drug-induced acute kidney injury: a cohort study on incidence, identification of pathophysiological mechanisms, and prognostic factors.PDF
حسب: Georgia Garcia (19961301)
منشور في: (2024)

Flowchart of cohort screening. ICU, intensive care unit; MIMIC-IV, Medical Information Mart for Intensive Care IV; CABG, coronary artery bypass grafting; AKI, acute kidney injury.
حسب: Yang Xu (178421)
منشور في: (2025)

Calculated AUC, sensitivities, specificities, predictive values, and compare the diagnostic efficiency of different models for AKI.
حسب: Chaoyun Jiang (22411268)
منشور في: (2025)

Quantitative Proteomic and Metabolomic Profiling Reveals Altered Purine Metabolism in Acute Kidney Injury after On-Pump Coronary Artery Bypass Graft
حسب: Mindi Zhao (5543243)
منشور في: (2025)

Quantitative Proteomic and Metabolomic Profiling Reveals Altered Purine Metabolism in Acute Kidney Injury after On-Pump Coronary Artery Bypass Graft
حسب: Mindi Zhao (5543243)
منشور في: (2025)

Quantitative Proteomic and Metabolomic Profiling Reveals Altered Purine Metabolism in Acute Kidney Injury after On-Pump Coronary Artery Bypass Graft
حسب: Mindi Zhao (5543243)
منشور في: (2025)

Quantitative Proteomic and Metabolomic Profiling Reveals Altered Purine Metabolism in Acute Kidney Injury after On-Pump Coronary Artery Bypass Graft
حسب: Mindi Zhao (5543243)
منشور في: (2025)

Quantitative Proteomic and Metabolomic Profiling Reveals Altered Purine Metabolism in Acute Kidney Injury after On-Pump Coronary Artery Bypass Graft
حسب: Mindi Zhao (5543243)
منشور في: (2025)

Quantitative Proteomic and Metabolomic Profiling Reveals Altered Purine Metabolism in Acute Kidney Injury after On-Pump Coronary Artery Bypass Graft
حسب: Mindi Zhao (5543243)
منشور في: (2025)

Patient distribution of acute kidney injury (AKI) and non-AKI based on AKI- diagnostic criteria (AKI-DC) I-IV.
حسب: Vicky Jenny Rebecka Wetterstrand (20542428)
منشور في: (2025)

Calculated AUC, sensitivities, specificities, predictive values of [TIMP-2]• [IGFBP7] for secondary outcomes AKI degree, CRRT usage, and 28-day mortality.
حسب: Chaoyun Jiang (22411268)
منشور في: (2025)

ROC curve for [TIMP2]• [IGFBP7] predicts the CRRT usage in all people and three cohorts (stroke, sepsis, and cardiac surgery) differing in AKI etiology.
حسب: Chaoyun Jiang (22411268)
منشور في: (2025)

ROC curve for [TIMP2]• [IGFBP7] predicts the 28-day mortality in all people and three cohorts (stroke, sepsis, and cardiac surgery) differing in AKI etiology.
حسب: Chaoyun Jiang (22411268)
منشور في: (2025)

Prognosis of critically ill patients with early and late sepsis-associated acute kidney injury: an observational study based on the MIMIC-IV
حسب: Bowen Shi (5458031)
منشور في: (2025)

Flowchart over patient inclusion for the acute kidney injury (AKI) cohort and distribution between acute kidney injury- diagnostic criteria (AKI-DC) I- IV.
حسب: Vicky Jenny Rebecka Wetterstrand (20542428)
منشور في: (2025)

Dissimilarities of diagnosis among the cohorts.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

Comparison of comorbidities across the three cohorts. Similarities were determined by comparing the best-matched clusters identified by both algorithms. The table presents the degree and betweenness values for each comorbidity within the cohorts.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

The strongest associations of medical diagnosis across the three cohorts.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

Study design schema for the three study cohorts and their timelines.
حسب: Mohammad A. Al-Mamun (6086642)
منشور في: (2025)

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