Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors.
PLoS ONE, 2019 AIMS:To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group.
Angelo Polito +4 more
doaj +1 more source
Near-infrared spectroscopy after high-risk congenital heart surgery in the paediatric intensive care unit [PDF]
, 2011 Objective: To establish whether the use of near-infrared spectroscopy is potentially beneficial in high-risk cardiac infants in United Kingdom paediatric intensive care units. Design: A prospective observational pilot study.
Hovarth +5 more
core +1 more source
Intensive-care Units for Myocardial Infarction [PDF]
, 1966 J. P. Shillingford
openalex +1 more source
Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care [PDF]
Staying in the intensive care unit (ICU) is often traumatic, leading to post-intensive care syndrome (PICS), which encompasses physical, psychological, and cognitive impairments. Currently, there are limited interventions available for PICS. Studies indicate that exposure to visual art may help address the psychological aspects of PICS and be more ...
arxiv +1 more source
Analysis of 150 patients with acute myocardial infarction admitted to an intensive care and study unit. [PDF]
, 1968 Michael Thomas +2 more
openalex +1 more source
Oxygen cocoon for patients under intensive care [PDF]
, 1975 Cocoon is made from Teflon film. It includes full-length, pressure zipper on top side and bottom part is rigid pad constructed of burn-resistant material.
Maas, J. W.
core +1 more source
The Intensity of Intensive Care: A Patient’s Narrative
Global Journal of Health Science, 2012 This qualitative study involved action research to explore one woman's narrative of awareness, emotions and thoughts during treatment in an intensive care unit (ICU). The overarching aim is to increase insight into the thoughts, feelings and bio-psychosocial needs of the patient receiving treatment in ICU.
Alida Herbst, Cornelia Maria Drenth
openaire +3 more sources
An statistical analysis of COVID-19 intensive care unit bed occupancy data [PDF]
arXivThe COVID-19 pandemic has had far-reaching consequences, highlighting the urgency for explanatory and predictive tools to track infection rates and burden of care over time and space. However, the scarcity and inhomogeneity of data is a challenge.
arxiv
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care [PDF]
arXiv, 2019 Clinical decision making is challenging because of pathological complexity, as well as large amounts of heterogeneous data generated as part of routine clinical care. In recent years, machine learning tools have been developed to aid this process. Intensive care unit (ICU) admissions represent the most data dense and time-critical patient care episodes.
arxiv
Measurement and recording during intensive patient care [PDF]
, 1967 P Cliffe
openalex +1 more source