[HTML][HTML] … and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient …
HC Thorsen-Meyer, AB Nielsen, AP Nielsen… - … Lancet Digital Health, 2020 - thelancet.com
… evaluation of the patient to evaluation of the intensive care … architecture were chosen using
a five-fold cross-validation on … For comparison, we also show how the variables in the original …
a five-fold cross-validation on … For comparison, we also show how the variables in the original …
[HTML][HTML] A machine learning model for early prediction and detection of sepsis in intensive care unit patients
… in the intensive care unit with minimal electronic health … in comparison with state-of-the-art
methods discussed in the literature review. In this section, we will also introduce the evaluation …
methods discussed in the literature review. In this section, we will also introduce the evaluation …
COVID‐19 disease severity assessment using CNN model
E Irmak - IET image processing, 2021 - Wiley Online Library
… Now that the clinical facilities such as the intensive care units and the … To compare the
proposed model with other deep learning … severity score has been computed with a small group of …
proposed model with other deep learning … severity score has been computed with a small group of …
Holmes: health online model ensemble serving for deep learning models in intensive care units
… Third, we validate the efficacy of our exploration algorithm in … deep learning models using
electronic health records data: a … In Figure 13, we do comparison of execution in latency profile …
electronic health records data: a … In Figure 13, we do comparison of execution in latency profile …
Improving the in-hospital mortality prediction of diabetes ICU patients using a process mining/deep learning architecture
… compared to established risk severity scoring methods and … the Medical Information Mart
for Intensive Care III dataset. … hospital mortality using a comprehensive electronic record in …
for Intensive Care III dataset. … hospital mortality using a comprehensive electronic record in …
[HTML][HTML] Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
… 2) can be explained by several attributes of a computerized … designed to compare the
clinical outcomes of the “treatment” … ” of respiratory failure in the intensive care unit and is, thus, …
clinical outcomes of the “treatment” … ” of respiratory failure in the intensive care unit and is, thus, …
Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring
… Establishing extensive hospital facilities in remote locations, … In [20] however, we see a
thorough comparison between … They are lightweight electronic devices interconnected to the …
thorough comparison between … They are lightweight electronic devices interconnected to the …
Leveraging IoTs and machine learning for patient diagnosis and ventilation management in the intensive care unit
… patients in the intensive care unit that leverages Internet of Things … PVA detection can be
performed with electronic algorithms, … was evaluated through k-fold validation, where we left one …
performed with electronic algorithms, … was evaluated through k-fold validation, where we left one …
Intensive care unit mortality prediction: An improved patient-specific stacking ensemble model
… The growth of the electronic health record (EHR) in the ICU, … We discuss our evaluation of
the proposed solution in Section … Woong Park, ‘‘A comparison of intensive care unit mortality …
the proposed solution in Section … Woong Park, ‘‘A comparison of intensive care unit mortality …
[HTML][HTML] CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
… We strongly recommend using the online version of the … Specify the algorithms used to
create models with architectural … if there are any differences among training, validation, internal …
create models with architectural … if there are any differences among training, validation, internal …