Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review

J Chromik, SAI Klopfenstein, B Pfitzner… - Frontiers in digital …, 2022 - frontiersin.org
Patient monitoring technology has been used to guide therapy and alert staff when a vital
sign leaves a predefined range in the intensive care unit (ICU) for decades. However, large …

Predictive models of medication non-adherence risks of patients with T2D based on multiple machine learning algorithms

XW Wu, HB Yang, R Yuan, EW Long… - BMJ Open Diabetes …, 2020 - drc.bmj.com
Objective Medication adherence plays a key role in type 2 diabetes (T2D) care. Identifying
patients with high risks of non-compliance helps individualized management, especially for …

Respiratory decision support systems

I Chouvarda, E Perantoni, P Steiropoulos - Wearable Sensing and …, 2022 - Elsevier
Computerized decision support systems help both health professionals and patients make
the right diagnostic and therapeutic decisions in a timely fashion, capitalizing on the …