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1.
Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care.
Stud Health Technol Inform;
305: 10-13, 2023 Jun 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-37386944
2.
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.
Neural Netw;
164: 156-176, 2023 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-37149917
3.
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal.
Clin Kidney J;
15(12): 2266-2280, 2022 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-36381375
4.
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
5.
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit.
Stud Health Technol Inform;
295: 148-151, 2022 Jun 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-35773829
6.
Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care.
Stud Health Technol Inform;
289: 329-332, 2022 Jan 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-35062159
7.
Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care.
Stud Health Technol Inform;
281: 103-107, 2021 May 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-34042714
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