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1.
Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment.
Crit Care Med
; 52(2): e79-e88, 2024 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-37938042
2.
Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model.
Crit Care Med
; 51(2): 291-300, 2023 Feb 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36524820
3.
Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts.
Crit Care
; 27(1): 67, 2023 02 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-36814287
4.
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
J Intensive Care Med
; 38(7): 612-629, 2023 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-36744415
5.
Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.
Crit Care Med
; 50(6): e581-e588, 2022 06 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35234175
6.
The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.
Value Health
; 25(3): 359-367, 2022 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-35227446
7.
A novel Vascular Leak Index identifies sepsis patients with a higher risk for in-hospital death and fluid accumulation.
Crit Care
; 26(1): 103, 2022 04 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-35410278
8.
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.
Crit Care
; 26(1): 265, 2022 09 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36064438
9.
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.
Acta Anaesthesiol Scand
; 66(1): 65-75, 2022 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34622441
10.
Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example.
Crit Care Med
; 49(6): e563-e577, 2021 06 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33625129
11.
External Evaluation of Population Pharmacokinetic Models of Vancomycin in Large Cohorts of Intensive Care Unit Patients.
Antimicrob Agents Chemother
; 63(5)2019 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-30833424
12.
Amino Acid Loss during Continuous Venovenous Hemofiltration in Critically Ill Patients.
Blood Purif
; 48(4): 321-329, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31291614
13.
Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction.
PLoS One
; 19(3): e0300739, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38547245
14.
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis.
J Clin Med
; 12(4)2023 Feb 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-36836046
15.
Determining and assessing characteristics of data element names impacting the performance of annotation using Usagi.
Int J Med Inform
; 178: 105200, 2023 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-37703800
16.
Intensive Care Unit Physicians' Perspectives on Artificial Intelligence-Based Clinical Decision Support Tools: Preimplementation Survey Study.
JMIR Hum Factors
; 10: e39114, 2023 Jan 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36602843
17.
Diagnosing acute kidney injury ahead of time in critically ill septic patients using kinetic estimated glomerular filtration rate.
J Crit Care
; 75: 154276, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-36774818
18.
Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study.
J Gerontol A Biol Sci Med Sci
; 78(4): 718-726, 2023 03 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-35657011
19.
Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation.
Lancet Digit Health
; 5(10): e657-e667, 2023 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-37599147
20.
Augmented intelligence facilitates concept mapping across different electronic health records.
Int J Med Inform
; 179: 105233, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37748329