Application of machine learning in intensive care unit (ICU) settings using MIMIC dataset: systematic review
Modern Intensive Care Units (ICUs) provide continuous monitoring of critically ill patients
susceptible to many complications affecting morbidity and mortality. ICU settings require a …
susceptible to many complications affecting morbidity and mortality. ICU settings require a …
Length of stay prediction for ICU patients using individualized single classification algorithm
Abstract Background and Objective: In intensive care units (ICUs), length of stay (LOS)
prediction is critical to help doctors and nurses select appropriate treatment options and …
prediction is critical to help doctors and nurses select appropriate treatment options and …
Weighted preliminary-summation-based principal component analysis for non-Gaussian processes
For industrial chemical process, preliminary-summation-based principal component analysis
(PS-PCA), an amended PCA method was recently provided for co** with both Gaussian …
(PS-PCA), an amended PCA method was recently provided for co** with both Gaussian …
Multilevel principal components analysis of three-dimensional facial growth in adolescents
Background and objectives The study of age-related facial shape changes across different
populations and sexes requires new multivariate tools to disentangle different sources of …
populations and sexes requires new multivariate tools to disentangle different sources of …
Unsupervised text feature learning via deep variational auto-encoder
Dimensionality reduction plays an important role in the data processing of machine learning
and data mining, which makes the processing of high-dimensional data more efficient …
and data mining, which makes the processing of high-dimensional data more efficient …
A new monitoring approach of time-varying and nonlinear processes with application to penicillin fermentation process
Y **e, F Hu, X Liu, L Zhai - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
In the actual production process, time-varying and nonlinear problems are numerous
important problems to be considered, in view of these problems, a process monitoring …
important problems to be considered, in view of these problems, a process monitoring …
Research on the establishment and application of the environmental health indicator system of atmospheric pollution in China
Q Wang, L Li, Y Zhang, Q Cui, Y Fu, W Shi… - Bulletin of …, 2021 - Springer
To understand the health impact represented by exposure to current atmospheric pollution
in China, an environmental health indicators (EHIs) system of atmospheric pollution was …
in China, an environmental health indicators (EHIs) system of atmospheric pollution was …
Enhanced Prediction of Intensive Care Unit Length of Stay using a Stack Ensemble of Machine Learning Models
AK Tella, SR Balasundaram - Engineering, Technology & Applied …, 2025 - etasr.com
Abstract The Length of Stay (LoS) refers to the time between a patient's hospital admission
and discharge. LoS is considered to increase as the complexity of the disease increases. A …
and discharge. LoS is considered to increase as the complexity of the disease increases. A …
Blood glucose adaptive generalized predictive control for critical care patients
S Balochıan, GR Alıkhanı - Cankaya University Journal of Science …, 2019 - dergipark.org.tr
Blood glucose (BG) concentration control for diabetic patients is a useful tool to reduce
death and emergence of serious complications. But glucose control in patients with high …
death and emergence of serious complications. But glucose control in patients with high …
[PDF][PDF] 2019 YEAR IN REVIEW: MACHINE LEARNING IN HEALTHCARE
We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …