4 Result(s)
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Fateme Nateghi Haredasht
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Article
Open AccessPredicting outcomes of acute kidney injury in critically ill patients using machine learning
Acute Kidney Injury (AKI) is a sudden episode of kidney failure that is frequently seen in critically ill patients. AKI has been linked to chronic kidney disease (CKD) and mortality. We developed machine learn...
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Article
Open AccessValidated risk prediction models for outcomes of acute kidney injury: a systematic review
Acute Kidney Injury (AKI) is frequently seen in hospitalized and critically ill patients. Studies have shown that AKI is a risk factor for the development of acute kidney disease (AKD), chronic kidney disease ...
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Article
The effect of different consensus definitions on diagnosing acute kidney injury events and their association with in-hospital mortality
Due to the existence of different AKI definitions, analyzing AKI incidence and associated outcomes is challenging. We investigated the incidence of AKI events defined by 4 different definitions (standard AKIN ...
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Article
Predicting Survival Outcomes in the Presence of Unlabeled Data
Many clinical studies require the follow-up of patients over time. This is challenging: apart from frequently observed drop-out, there are often also organizational and financial challenges, which can lead to ...
