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 …

[HTML][HTML] Clinical requirements of future patient monitoring in the intensive care unit: qualitative study

AS Poncette, C Spies, L Mosch… - JMIR medical …, 2019 - medinform.jmir.org
… Notably, in comparison with other medical devices, patient … to estimate the validity of CDSS
recommendations in their … implementation of electronic applications in health care dates back …

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] Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PloS one, 2019 - journals.plos.org
… Finally, we test, validate, and explain the proposed methods … For the purpose of comparison
to the traditional methods, we … probability p nm , and computed the maximum probability w n …

A comparison of five algorithmic methods and machine learning pattern recognition for artifact detection in electronic records of five different vital signs: A retrospective …

M Maleczek, D Laxar, L Kapral, M Kuhrn… - …, 2024 - pubs.asahq.org
… The main objective of this project was to provide guidance on … context of intraoperative
versus intensive care unit. No one … into question the validity of our findings in these datasets. …

[HTML][HTML] Intelligent ICU for autonomous patient monitoring using pervasive sensing and deep learning

A Davoudi, KR Malhotra, B Shickel, S Siegel… - Scientific reports, 2019 - nature.com
… and granular monitoring in the Intensive Care Unit (ICU). As … We used computer vision and
deep learning techniques to … vision techniques, we were also able to observe differences in …

[HTML][HTML] A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

S Yeung, F Rinaldo, J Jopling, B Liu, R Mehra… - NPJ digital …, 2019 - nature.com
… mitigates risk for post-intensive care syndrome and long-term … was to develop and validate
computer vision algorithms to … was assessed by comparing the manual annotations of the …

[HTML][HTML] Non-contact physiological monitoring of preterm infants in the neonatal intensive care unit

M Villarroel, S Chaichulee, J Jorge, S Davis… - NPJ digital …, 2019 - nature.com
… (or turn off compatibility mode in Internet Explorer). In the … a reference device to validate
estimates computed from the camera … For example, differences between the heart rate computed

Online clinical decision support system using optimal deep neural networks

SK Lakshmanaprabu, SN Mohanty… - Applied Soft …, 2019 - Elsevier
… the Internet-connected Things using computer networks. IoT … it using the hidden layer
architecture, initially representing the … validated for every particle in the swarm, and a comparison

A novel intelligent medical decision support model based on soft computing and IoT

M Abdel-Basset, G Manogaran… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
… novel framework based on computer propped diagnosis and … a comparison analysis among
suggested method and other … the patients’ survival rates in critical health conditions. We also …