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 …
[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 …
recommendations in their … implementation of electronic applications in health care dates back …
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] Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory
… 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 …
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. …
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
… 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 …
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
… 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 …
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
… (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 …
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 …
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 …
suggested method and other … the patients’ survival rates in critical health conditions. We also …