Network data acquisition and monitoring system for intensive care mechanical ventilation treatment

QA Ng, YS Chiew, X Wang, CP Tan, MBM Nor… - Ieee …, 2021 - ieeexplore.ieee.org
… It is a single-board computer, Raspberry Pi 4 Model B attached … Martin, ‘‘Development and
validation of a reinforcement … lower tidal volumes as compared with traditional tidal volumes …

Actigraphy to evaluate sleep in the intensive care unit. A systematic review

KE Schwab, B Ronish, DM Needham… - Annals of the …, 2018 - atsjournals.org
… These activity counts are then processed by computer … of a sleep scoring method that used
an algorithm validated in … in quantity as compared with guideline-based recommendations for …

[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 …

[PDF][PDF] High Frequency Physiological Data Quality Modelling in the Intensive Care Unit

AJ Goodwin - 2023 - core.ac.uk
… and friendship, Bobby Greer for his constant support and computer … All this exciting research
is just a side story compared to the … A description of an experiment designed to validate the …

Machine learning for real-time prediction of complications in critical care: a retrospective study

A Meyer, D Zverinski, B Pfahringer… - The Lancet …, 2018 - thelancet.com
validation study on intensive care cases from another … electronic health record data from a
German tertiary care centre … a specific intensive care unit, striking differences in care practice …

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 …

Clinical decision-support systems for detection of systemic inflammatory response syndrome, sepsis, and septic shock in critically ill patients: a systematic review

A Wulff, S Montag, M Marschollek… - Methods of information …, 2019 - thieme-connect.com
… risk for a longer time of stay in intensive care units (ICUs)[10] and … , coming along with an
increased use of electronic health … that SIRS criteria have lower accuracy compared with SOFA, …

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach

T Desautels, R Das, J Calvert, M Trivedi, C Summers… - BMJ open, 2017 - bmjopen.bmj.com
… We compared this method with our implementation of SWIFT,18 which is … . Computerized
prediction of intensive care unit discharge after cardiac surgery: development and validation of …

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. …

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 …