Found: 17
Select item for more details and to access through your institution.
Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study.
- Published in:
- Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2023, v. 78, n. 4, p. 718, doi. 10.1093/gerona/glac107
- By:
- Publication type:
- Article
Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts.
- Published in:
- Critical Care, 2023, v. 27, n. 1, p. 1, doi. 10.1186/s13054-023-04307-x
- By:
- Publication type:
- Article
Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock-a two-centre randomised clinical trial.
- Published in:
- 2022
- By:
- Publication type:
- journal article
A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit.
- Published in:
- 2021
- By:
- Publication type:
- letter
Machine learning in intensive care medicine: ready for take-off?
- Published in:
- 2020
- By:
- Publication type:
- Letter
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.
- Published in:
- 2020
- By:
- Publication type:
- journal article
The ESICM datathon and the ESICM and ICMx data science strategy.
- Published in:
- Intensive Care Medicine Experimental, 2024, v. 12, n. 1, p. 1, doi. 10.1186/s40635-024-00615-w
- By:
- Publication type:
- Article
Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset.
- Published in:
- PLoS ONE, 2024, v. 19, n. 6, p. 1, doi. 10.1371/journal.pone.0304133
- By:
- Publication type:
- Article
Encouraging responsible intensive care data sharing.
- Published in:
- Intensive Care Medicine, 2023, v. 49, n. 8, p. 1027, doi. 10.1007/s00134-023-07113-9
- By:
- Publication type:
- Article
Right Dose, Right Now: Development of AutoKinetics for Real Time Model Informed Precision Antibiotic Dosing Decision Support at the Bedside of Critically Ill Patients.
- Published in:
- Frontiers in Pharmacology, 2020, v. 11, p. 1, doi. 10.3389/fphar.2020.00646
- By:
- Publication type:
- Article
Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial.
- Published in:
- 2019
- By:
- Publication type:
- journal article
Amino Acid Loss during Continuous Venovenous Hemofiltration in Critically Ill Patients.
- Published in:
- Blood Purification, 2019, v. 48, n. 4, p. 321, doi. 10.1159/000500998
- By:
- Publication type:
- Article
A guide to sharing open healthcare data under the General Data Protection Regulation.
- Published in:
- Scientific Data, 2023, v. 10, n. 1, p. 1, doi. 10.1038/s41597-023-02256-2
- By:
- Publication type:
- Article
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
- Published in:
- Journal of Intensive Care Medicine, 2023, v. 38, n. 7, p. 612, doi. 10.1177/08850666231153393
- By:
- Publication type:
- Article
Intensive Care Unit Physicians' Perspectives on Artificial Intelligence-Based Clinical Decision Support Tools: Preimplementation Survey Study.
- Published in:
- JMIR Human Factors, 2023, v. 10, p. 311, doi. 10.2196/39114
- By:
- Publication type:
- Article
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis.
- Published in:
- Journal of Clinical Medicine, 2023, v. 12, n. 4, p. 1513, doi. 10.3390/jcm12041513
- By:
- Publication type:
- Article