Prediction of acute kidney injury with a machine learning algorithm using electronic health record data
H Mohamadlou, A Lynn-Palevsky… - Canadian journal of …, 2018 - journals.sagepub.com
Background: A major problem in treating acute kidney injury (AKI) is that clinical criteria for
recognition are markers of established kidney damage or impaired function; treatment …
recognition are markers of established kidney damage or impaired function; treatment …
[HTML][HTML] Predicting inpatient acute kidney injury over different time horizons: how early and accurate?
Abstract Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two
decades due to rising prevalence of comorbidities and broadening repertoire of nephrotoxic …
decades due to rising prevalence of comorbidities and broadening repertoire of nephrotoxic …
The development of a machine learning inpatient acute kidney injury prediction model
JL Koyner, KA Carey, DP Edelson… - Critical care …, 2018 - journals.lww.com
Objectives: To develop an acute kidney injury risk prediction model using electronic health
record data for longitudinal use in hospitalized patients. Design: Observational cohort study …
record data for longitudinal use in hospitalized patients. Design: Observational cohort study …
Artificial intelligence in acute kidney injury risk prediction
J Gameiro, T Branco, JA Lopes - Journal of clinical medicine, 2020 - mdpi.com
Acute kidney injury (AKI) is a frequent complication in hospitalized patients, which is
associated with worse short and long-term outcomes. It is crucial to develop methods to …
associated with worse short and long-term outcomes. It is crucial to develop methods to …
A simple real-time model for predicting acute kidney injury in hospitalized patients in the US: a descriptive modeling study
M Simonov, U Ugwuowo, E Moreira, Y Yamamoto… - PLoS …, 2019 - journals.plos.org
Background Acute kidney injury (AKI) is an adverse event that carries significant morbidity.
Given that interventions after AKI occurrence have poor performance, there is substantial …
Given that interventions after AKI occurrence have poor performance, there is substantial …
Internal and external validation of a machine learning risk score for acute kidney injury
Importance Acute kidney injury (AKI) is associated with increased morbidity and mortality in
hospitalized patients. Current methods to identify patients at high risk of AKI are limited, and …
hospitalized patients. Current methods to identify patients at high risk of AKI are limited, and …
Prediction and detection models for acute kidney injury in hospitalized older adults
RJ Kate, RM Perez, D Mazumdar… - BMC medical informatics …, 2016 - Springer
Abstract Background Acute Kidney Injury (AKI) occurs in at least 5% of hospitalized patients
and can result in 40–70% morbidity and mortality. Even following recovery, many subjects …
and can result in 40–70% morbidity and mortality. Even following recovery, many subjects …
Automated continuous acute kidney injury prediction and surveillance: a random forest model
Objective To develop and validate a prediction model of acute kidney injury (AKI) of any
severity that could be used for AKI surveillance and management to improve clinical …
severity that could be used for AKI surveillance and management to improve clinical …
A continual prediction model for inpatient acute kidney injury
RJ Kate, N Pearce, D Mazumdar… - Computers in biology and …, 2020 - Elsevier
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 …
medical complications. But it is preventable and potentially reversible with early diagnosis …
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning
Background Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in
the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a …
the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a …