[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 carearchitecture were chosen using
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

YV Singh, P Singh, S Khan… - Journal of Healthcare …, 2022 - ncbi.nlm.nih.gov
… 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

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 …

Holmes: health online model ensemble serving for deep learning models in intensive care units

S Hong, Y Xu, A Khare, S Priambada, K Maher… - Proceedings of the 26th …, 2020 - dl.acm.org
… 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 …

Improving the in-hospital mortality prediction of diabetes ICU patients using a process mining/deep learning architecture

J Theis, WL Galanter, AD Boyd… - … Biomedical and Health …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

A Peine, A Hallawa, J Bickenbach, G Dartmann… - NPJ digital …, 2021 - nature.com
… 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, …

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

MM Islam, MK Hasan, S Islam… - CAAI Transactions …, 2024 - Wiley Online Library
… Establishing extensive hospital facilities in remote locations, … In [20] however, we see a
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

GB Rehm, SH Woo, XL Chen, BT Kuhn… - IEEE Pervasive …, 2020 - ieeexplore.ieee.org
… 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 …

Intensive care unit mortality prediction: An improved patient-specific stacking ensemble model

N El-Rashidy, S El-Sappagh, T Abuhmed… - IEEE …, 2020 - ieeexplore.ieee.org
… 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 …

[HTML][HTML] CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

B Kocak, B Baessler, S Bakas, R Cuocolo… - Insights into …, 2023 - Springer
… 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 …