Acute kidney injury prediction with gradient boosting decision trees enriched with temporal features
S Golovco, M Mantovani, C Combi… - 2022 IEEE 10th …, 2022 - ieeexplore.ieee.org
This paper aims to predict the risk of Acute Kidney Injury (AKI) in intensive care units (ICUs)
using machine learning techniques and statistical approaches. The data used in the study …
using machine learning techniques and statistical approaches. The data used in the study …
[HTML][HTML] Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
Background Acute kidney injury (AKI) is one of the preventable complications of
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset
Several algorithms for learning the structure of dynamic Bayesian networks (DBNs) require
an a priori ordering of variables, which influences the determined graph topology. However …
an a priori ordering of variables, which influences the determined graph topology. However …
Supervised Machine Learning Models for the Prediction of renal failure in Senegal
DAN Seck, FBR Diakité - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The objective of this paper goal is to propose models to predict the diagnosis of acute,
chronic or terminal chronic renal failure using supervised machine learning methods. We …
chronic or terminal chronic renal failure using supervised machine learning methods. We …
Including urinary output to define AKI enhances the performance of machine learning models to predict AKI at admission
E Schwager, S Lanius, E Ghosh, L Eshelman… - Journal of critical …, 2021 - Elsevier
Purpose Acute kidney injury (AKI) is a prevalent and detrimental condition in intensive care
unit patients. Most AKI predictive models only predict creatinine-triggered AKI (AKI Cr) and …
unit patients. Most AKI predictive models only predict creatinine-triggered AKI (AKI Cr) and …
Secure decentralized decisions to enhance coordination in consolidated hospital systems
Shared decision making has become a crucial solution to build a consolidated healthcare
system. While there is some research in the healthcare literature discussing the advantages …
system. While there is some research in the healthcare literature discussing the advantages …
ICU 患者急性肾损伤发生风险的LightGBM 预测模型
张渊， 冯聪， 李开源， 张政波， 曹德森… - 解放军医学院 …, 2019 - xuebao.301hospital.com.cn
ICU 患者急性肾损伤发生风险的LightGBM 预测模型 Page 1 316 解放军医学院学报Acad J Chin
PLA Med Sch Apr 2019,40(4) http://jyjxxyxb.paperopen.com ICU 患者急性肾损伤发生风险的 …
PLA Med Sch Apr 2019,40(4) http://jyjxxyxb.paperopen.com ICU 患者急性肾损伤发生风险的 …
[HTML][HTML] Anesthetic Management Recommendations Using a Machine Learning Algorithm to Reduce the Risk of Acute Kidney Injury After Cardiac Surgeries
Background: Open heart surgeries are a common surgical approach among patients with
heart disease. Acute kidney injury (AKI) is one of the most common postoperative …
heart disease. Acute kidney injury (AKI) is one of the most common postoperative …
An Empirical Study on KDIGO-Defined Acute Kidney Injury Prediction in the Intensive Care Unit
Motivation: Acute kidney injury (AKI) is a syndrome that affects a large fraction of all critically
ill patients, and early diagnosis to receive adequate treatment is as imperative as it is …
ill patients, and early diagnosis to receive adequate treatment is as imperative as it is …
Artificial Intelligence in Predicting Kidney Function and Acute Kidney Injury
E Uchino, N Sato, Y Okuno - Artificial Intelligence in Medicine, 2022 - Springer
Acute kidney injury (AKI) is a disease defined as an abrupt decline in kidney function and is
a common complication in hospitalized patients with high clinical significance. Recently, a …
a common complication in hospitalized patients with high clinical significance. Recently, a …