Contreras I - Search Results

1

Profiling intra-patient type I diabetes behaviors.

Contreras I, Quirós C, Giménez M, Conget I, Vehi J. Contreras I, et al. Comput Methods Programs Biomed. 2016 Nov;136:131-41. doi: 10.1016/j.cmpb.2016.08.022. Epub 2016 Sep 1. Comput Methods Programs Biomed. 2016. PMID: 27686710

2

Adaptive Workflows for Diabetes Management: Self-Management Assistant and Remote Treatment for Diabetes.

Contreras I, Kiefer S, Vehi J. Contreras I, et al. Stud Health Technol Inform. 2017;237:151-156. Stud Health Technol Inform. 2017. PMID: 28479559

3

Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models.

Contreras I, Oviedo S, Vettoretti M, Visentin R, Vehí J. Contreras I, et al. PLoS One. 2017 Nov 7;12(11):e0187754. doi: 10.1371/journal.pone.0187754. eCollection 2017. PLoS One. 2017. PMID: 29112978 Free PMC article.

4

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

Contreras I, Vehi J. Contreras I, et al. J Med Internet Res. 2018 May 30;20(5):e10775. doi: 10.2196/10775. J Med Internet Res. 2018. PMID: 29848472 Free PMC article. Review.

5

Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study.

Vehi J, Regincós Isern J, Parcerisas A, Calm R, Contreras I. Vehi J, et al. Among authors: contreras i. JMIR Mhealth Uhealth. 2019 Mar 7;7(3):e11933. doi: 10.2196/11933. JMIR Mhealth Uhealth. 2019. PMID: 30843865 Free PMC article.

6

Risk-based postprandial hypoglycemia forecasting using supervised learning.

Oviedo S, Contreras I, Quirós C, Giménez M, Conget I, Vehi J. Oviedo S, et al. Among authors: contreras i. Int J Med Inform. 2019 Jun;126:1-8. doi: 10.1016/j.ijmedinf.2019.03.008. Epub 2019 Mar 11. Int J Med Inform. 2019. PMID: 31029250

7

Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning.

Vehí J, Contreras I, Oviedo S, Biagi L, Bertachi A. Vehí J, et al. Among authors: contreras i. Health Informatics J. 2020 Mar;26(1):703-718. doi: 10.1177/1460458219850682. Epub 2019 Jun 13. Health Informatics J. 2020. PMID: 31195880 Free article.

8

Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Oviedo S, Contreras I, Bertachi A, Quirós C, Giménez M, Conget I, Vehi J. Oviedo S, et al. Among authors: contreras i. Comput Methods Programs Biomed. 2019 Sep;178:175-180. doi: 10.1016/j.cmpb.2019.06.025. Epub 2019 Jun 27. Comput Methods Programs Biomed. 2019. PMID: 31416546

9

Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor.

Bertachi A, Viñals C, Biagi L, Contreras I, Vehí J, Conget I, Giménez M. Bertachi A, et al. Among authors: contreras i. Sensors (Basel). 2020 Mar 19;20(6):1705. doi: 10.3390/s20061705. Sensors (Basel). 2020. PMID: 32204318 Free PMC article.

10

Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges.

Mujahid O, Contreras I, Vehi J. Mujahid O, et al. Among authors: contreras i. Sensors (Basel). 2021 Jan 14;21(2):546. doi: 10.3390/s21020546. Sensors (Basel). 2021. PMID: 33466659 Free PMC article. Review.

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