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>

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Bibliographic Details
Main Author:	Christian Porschen (12967868) (author)
Other Authors:	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)
Published:	2025
Subjects:	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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