Related references
Note: Only part of the references are listed.Enteral feeding, even when the gut does not feel very good?
Annika Reintam Blaser et al.
CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE (2022)
Development and validation of a predictive model for feeding intolerance in intensive care unit patients with sepsis
Kunlin Hu et al.
SAUDI JOURNAL OF GASTROENTEROLOGY (2022)
Fluid Overload Phenotypes in Critical Illness-A Machine Learning Approach
Anna S. Messmer et al.
JOURNAL OF CLINICAL MEDICINE (2022)
Gastrointestinal dysfunction during enteral nutrition delivery in intensive care unit (ICU) patients: Risk factors, natural history, and clinical implications. A post-hoc analysis of The Augmented versus Routine approach to Giving Energy Trial (TARGET)
Tejaswini Arunachala Murthy et al.
AMERICAN JOURNAL OF CLINICAL NUTRITION (2022)
A novel machine learning model to predict respiratory failure and invasive mechanical ventilation in critically ill patients suffering from COVID-19
Itai Bendavid et al.
SCIENTIFIC REPORTS (2022)
Impact of enteral nutrition interruptions on underfeeding in intensive care unit
Erika Salciute-Simene et al.
CLINICAL NUTRITION (2021)
Explainable machine learning model to predict refeeding hypophosphatemia
Tae Yang Choi et al.
CLINICAL NUTRITION ESPEN (2021)
Enteral Feeding Intolerance: Updates in Definitions and Pathophysiology
Annika Reintam Blaser et al.
NUTRITION IN CLINICAL PRACTICE (2021)
Development of the Gastrointestinal Dysfunction Score (GIDS) for critically ill patients-A prospective multicenter observational study (iSOFA study)
Annika Reintam Blaser et al.
CLINICAL NUTRITION (2021)
Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
Davy van de Sande et al.
INTENSIVE CARE MEDICINE (2021)
A guide to enteral nutrition in intensive care units: 10 expert tips for the daily practice
Jean-Charles Preiser et al.
CRITICAL CARE (2021)
Incidence, Risk Factors, and Clinical Consequence of Enteral Feeding Intolerance in the Mechanically Ventilated Critically Ill: An Analysis of a Multicenter, Multiyear Database
Daren K. Heyland et al.
CRITICAL CARE MEDICINE (2021)
Early diagnosis of bloodstream infections in the intensive care unit using machine-learning algorithms
Michael Roimi et al.
INTENSIVE CARE MEDICINE (2020)
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
Lucas M. Fleuren et al.
INTENSIVE CARE MEDICINE (2020)
ESPEN guideline on clinical nutrition in the intensive care unit
Pierre Singer et al.
CLINICAL NUTRITION (2019)
Machine Learning in Medicine
Alvin Rajkomar et al.
NEW ENGLAND JOURNAL OF MEDICINE (2019)
Improved ICU mortality prediction based on SOFA scores and gastrointestinal parameters
Yehudit Aperstein et al.
PLOS ONE (2019)
Use of machine learning to analyse routinely collected intensive care unit data: a systematic review
Duncan Shillan et al.
CRITICAL CARE (2019)
Early nutritional inadequacy is associated with psoas muscle deterioration and worse clinical outcomes in critically ill surgical patients
Daniel Dante Yeh et al.
JOURNAL OF CRITICAL CARE (2018)
Early enteral nutrition in critically ill patients: ESICM clinical practice guidelines
Annika Reintam Blaser et al.
INTENSIVE CARE MEDICINE (2017)
Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (ASPEN)
Stephen A. McClave et al.
JOURNAL OF PARENTERAL AND ENTERAL NUTRITION (2016)
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
Gary S. Collins et al.
ANNALS OF INTERNAL MEDICINE (2015)
Definition, prevalence, and outcome of feeding intolerance in intensive care: a systematic review and meta-analysis
A. Reintam Blaser et al.
ACTA ANAESTHESIOLOGICA SCANDINAVICA (2014)
Gastrointestinal symptoms during the first week of intensive care are associated with poor outcome: a prospective multicentre study
Annika Reintam Blaser et al.
INTENSIVE CARE MEDICINE (2013)
Gastrointestinal function in intensive care patients: terminology, definitions and management. Recommendations of the ESICM Working Group on Abdominal Problems
Annika Reintam Blaser et al.
INTENSIVE CARE MEDICINE (2012)
Serial evaluation of the SOFA score to predict outcome in critically ill patients
FL Ferreira et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2001)