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 …
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 …
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 …
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 …
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 …