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1.
A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.
Comput Biol Med
; 163: 107188, 2023 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37393785
2.
Prediction of complications of type 2 Diabetes: A Machine learning approach.
Diabetes Res Clin Pract
; 190: 110013, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-35870573
3.
A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution.
IEEE J Biomed Health Inform
; 25(10): 3983-3994, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-33877990
4.
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients.
J Intensive Med
; 1(2): 110-116, 2021 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-36785563
5.
Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.
IEEE J Biomed Health Inform
; 24(1): 235-246, 2020 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-30762572
6.
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach.
Artif Intell Med
; 105: 101847, 2020 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-32505428
7.
A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing.
IEEE J Transl Eng Health Med
; 8: 3000112, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33150095
8.
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Comput Biol Med
; 112: 103358, 2019 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-31336327
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