Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients
P Pan, Y Wang, C Liu, Y Tu, H Cheng, Q Yang, F Xie… - Journal of Big Data, 2024 - Springer
Background Predicting patient mortality risk facilitates early intervention in intensive care
unit (ICU) patients at greater risk of disease progression. This study applies machine …
unit (ICU) patients at greater risk of disease progression. This study applies machine …
Biomarkers vs Machines: The Race to Predict Acute Kidney Injury
L Ghazi, K Farhat, MP Hoenig, TJS Durant… - Clinical …, 2024 - academic.oup.com
Background Acute kidney injury (AKI) is a serious complication affecting up to 15% of
hospitalized patients. Early diagnosis is critical to prevent irreversible kidney damage that …
hospitalized patients. Early diagnosis is critical to prevent irreversible kidney damage that …
[HTML][HTML] A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study
I Persson, A Grünwald, L Morvan… - JMIR Formative …, 2023 - formative.jmir.org
Background: Acute kidney injury (AKI) represents a significant global health challenge,
leading to increased patient distress and financial health care burdens. The development of …
leading to increased patient distress and financial health care burdens. The development of …
Beyond biomarkers: machine learning in diagnosing acute kidney injury
BA Molitoris - Mayo Clinic Proceedings, 2019 - mayoclinicproceedings.org
Machine learning is becoming the cutting edge, and likely the way of the future, for patient
surveillance. In this issue of Mayo Clinic Proceedings, Chiofolo et al 1 report a Mayo Clinic …
surveillance. In this issue of Mayo Clinic Proceedings, Chiofolo et al 1 report a Mayo Clinic …
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 …
Data analysis of impaired renal and cardiac function using a combination of standard classifiers
We examine the significance of the predictive potential of EPI cystatin C (EPI CysC) in
combination with NTproBNP, sodium, and potassium in the evaluation of renal function in …
combination with NTproBNP, sodium, and potassium in the evaluation of renal function in …
[HTML][HTML] Self-correcting recurrent neural network for acute kidney injury prediction in critical care
NK Yuan - Health Data Science, 2021 - spj.science.org
Background. In critical care, intensivists are required to continuously monitor high-
dimensional vital signs and lab measurements to detect and diagnose acute patient …
dimensional vital signs and lab measurements to detect and diagnose acute patient …
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 …
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 …
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 …