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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.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
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
14.
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
15.
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
16.
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
Ann Intensive Care
; 12(1): 99, 2022 Oct 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36264358
17.
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.
Int J Med Inform
; 167: 104863, 2022 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-36162166
18.
Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists.
Crit Care Explor
; 3(9): e0529, 2021 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-34589713
19.
Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit.
Intensive Care Med
; 47(11): 1327-1328, 2021 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-34432094
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