Validated risk prediction models for outcomes of acute kidney injury: a systematic review
Abstract Background 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 …
critically ill patients. Studies have shown that AKI is a risk factor for the development of acute …
Predicting outcomes of acute kidney injury in critically ill patients using machine learning
F Nateghi Haredasht, L Viaene, H Pottel, W De Corte… - Scientific Reports, 2023 - nature.com
Abstract 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 …
seen in critically ill patients. AKI has been linked to chronic kidney disease (CKD) and …
Exploiting censored information in self-training for time-to-event prediction
A common problem in medical applications is predicting the time until an event of interest
such as the onset of a disease, time to tumor recurrence, and time to mortality. Traditionally …
such as the onset of a disease, time to tumor recurrence, and time to mortality. Traditionally …
Causal impact evaluation of occupational safety policies on firms' default using machine learning uplift modelling
It is often undermined that occupational safety policies do not only displace a direct effect on
work well-being, but also an indirect effect on firms' economic performances. In such context …
work well-being, but also an indirect effect on firms' economic performances. In such context …
Development of predictive models for critically ill patients with acute kidney injury
F Nateghi Haredasht, C Vens, H Pottel, L Viaene… - 2023 - lirias.kuleuven.be
Predictive models are widely used in intensive care units (ICU), due to the widespread
implementation of electronic systems to collect patient data: demographic information …
implementation of electronic systems to collect patient data: demographic information …