[HTML][HTML] Diagnostic accuracy of clinical outcome prediction using nursing data in intensive care patients: A systematic review

M Kim, S Park, C Kim, M Choi - International Journal of Nursing Studies, 2023 - Elsevier
Background Nursing data consist of observations of patients' conditions and information on
nurses' clinical judgment based on critically ill patients' behavior and physiological signs …

Enabling timely medical intervention by exploring health-related multivariate time series with a hybrid attentive model

J Xie, Z Wang, Z Yu, B Guo - Sensors, 2022 - mdpi.com
Modern healthcare practice, especially in intensive care units, produces a vast amount of
multivariate time series of health-related data, eg, multi-lead electrocardiogram (ECG), pulse …

Application of machine learning models to biomedical and information system signals from critically ill adults

CM Lilly, D Kirk, IM Pessach, G Lotun, O Chen… - Chest, 2024 - Elsevier
Background Machine learning (ML)-derived notifications for impending episodes of
hemodynamic instability and respiratory failure events are interesting because they can alert …

Artificial Intelligence in the Management of Difficult Decisions in Surgery and Operating Room Optimization

E Bignami, V Bellini, EPR Carnà - The High-risk Surgical Patient, 2023 - Springer
Abstract Artificial Intelligence (AI) and Machine Learning (ML) algorithms have several
applications in everyday life and many scientific fields. Relatively recent in medicine …

Curating Quantitative Methods to Detect Long-Term Trends in Phenological Species Monitoring

M Cort, M Gavagan, H Goodrich, J Urquhart - 2023 - deepblue.lib.umich.edu
Phenological species monitoring is crucial to determining the impacts of climate change on
key indicator species (Diez et al. 2012, Ibáñez 2010). The Old Woman Creek National …

THE IMPLEMENTATION OF ELECTRONIC MEDICAL RECORD RELATED TO NURSING WORKLOAD IN INTENSIVE CARE UNIT (A LITERATURE REVIEW)

G Satria, S Mulyono - Journal of Innovation Research and …, 2022 - bajangjournal.com
The implementation of electronic medical record has been assessed lately to review its
effectiveness in reducing nursing workload. Although many studies showed its efficacy …