Clinical implementation of predictive models embedded within electronic health record systems: a systematic review

TC Lee, NU Shah, A Haack, SL Baxter - Informatics, 2020 - mdpi.com
Predictive analytics using electronic health record (EHR) data have rapidly advanced over
the last decade. While model performance metrics have improved considerably, best …

Guidelines on the management of acute respiratory distress syndrome

MJD Griffiths, DF McAuley… - BMJ open …, 2019 - bmjopenrespres.bmj.com
The Faculty of Intensive Care Medicine and Intensive Care Society Guideline Development
Group have used GRADE methodology to make the following recommendations for the …

[HTML][HTML] Machine learning algorithms for predicting outcomes of traumatic brain injury: A systematic review and meta-analysis

E Courville, SF Kazim, J Vellek… - Surgical neurology …, 2023 - ncbi.nlm.nih.gov
Background: Traumatic brain injury (TBI) is a leading cause of death and disability
worldwide. The use of machine learning (ML) has emerged as a key advancement in TBI …

Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards

MM Churpek, TC Yuen, C Winslow… - Critical care …, 2016 - journals.lww.com
Objective: Machine learning methods are flexible prediction algorithms that may be more
accurate than conventional regression. We compared the accuracy of different techniques …

Patient safety processor

LA Lynn, EN Lynn - US Patent 9,053,222, 2015 - Google Patents
US9053222B2 - Patient safety processor - Google Patents US9053222B2 - Patient safety
processor - Google Patents Patient safety processor Download PDF Info Publication number …

Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome

Z Zhang, B Zheng, N Liu, H Ge, Y Hong - Intensive care medicine, 2019 - Springer
Purpose Protective mechanical ventilation based on multiple ventilator parameters such as
tidal volume, plateau pressure, and driving pressure has been widely used in acute …

[HTML][HTML] Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)

S Le, E Pellegrini, A Green-Saxena, C Summers… - Journal of Critical …, 2020 - Elsevier
Purpose Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with
high mortality and associated morbidity. The objective of this study is to develop and …

Impact of ventilator adjustment and sedation–analgesia practices on severe asynchrony in patients ventilated in assist-control mode

G Chanques, JP Kress, A Pohlman, S Patel… - Critical care …, 2013 - journals.lww.com
Objectives: Breath-stacking asynchrony during assist-control-mode ventilation may be
associated with increased tidal volume and alveolar pressure that could contribute to …

Patient safety processor

LA Lynn, EN Lynn - US Patent 10,366,790, 2019 - Google Patents
A processor-based system for analyzing physiologic data and medical care is provided
wherein the patient data is analyzed to construct images that are representative of a patient's …

Low tidal volume ventilation use in acute respiratory distress syndrome

CH Weiss, DW Baker, S Weiner, M Bechel… - Critical care …, 2016 - journals.lww.com
Objective: Low tidal volume ventilation lowers mortality in the acute respiratory distress
syndrome. Previous studies reported poor low tidal volume ventilation implementation. We …