A continual prediction model for inpatient acute kidney injury

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical complications. But it is preventable and potentially reversible with early diagnosis and management. Therefore, several machine learning based predictive models have been built to predict AKI in advanc...

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Veröffentlicht in:	Computers in biology and medicine 2020-01, Vol.116, p.103580-103580, Article 103580
Hauptverfasser:	Kate, Rohit J., Pearce, Noah, Mazumdar, Debesh, Nilakantan, Vani
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute kidney injury Automation Complications EHR Electronic health records Electronic medical records Hemodialysis Hospitals Kidney diseases Kidneys Learning algorithms Machine learning Patients Performance evaluation Prediction Prediction models Researchers Survival analysis Variables
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