Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

Peter G. Jacobs; Pau Herrero; Andrea Facchinetti; Josep Vehi; Boris Kovatchev; Marc Breton; Ali Cinar; Konstantina S. Nikita; Frank Doyle; Jorge Bondia; Tatej Battelino; Jessica R. Castle; Konstantia Zarkogianni; Rahul Narayan; Clara Mosquera-Lopez

Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

Peter G. Jacobs, Pau Herrero, Andrea Facchinetti, Josep Vehi, Boris Kovatchev, Marc Breton, Ali Cinar, Konstantina S. Nikita, Frank Doyle, Jorge Bondia, Tatej Battelino, Jessica R. Castle, Konstantia Zarkogianni, Rahul Narayan, Clara Mosquera-Lopez

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	19-41
Journal	IEEE Reviews in Biomedical Engineering
Volume	17
Early online date	2023
Publication status	Published - 2024

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Jacobs, P. G., Herrero, P., Facchinetti, A., Vehi, J., Kovatchev, B., Breton, M., Cinar, A., Nikita, K. S., Doyle, F., Bondia, J., Battelino, T., Castle, J. R., Zarkogianni, K., Narayan, R., & Mosquera-Lopez, C. (2024). Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities. IEEE Reviews in Biomedical Engineering, 17, 19-41. https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Artificial%20intelligence%20and%20machine%20learning%20for%20improving%20glycemic%20control%20in%20diabetes:%20best%20practices,%20pitfalls%20and%20opportunities

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title = "Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities",

author = "Jacobs, {Peter G.} and Pau Herrero and Andrea Facchinetti and Josep Vehi and Boris Kovatchev and Marc Breton and Ali Cinar and Nikita, {Konstantina S.} and Frank Doyle and Jorge Bondia and Tatej Battelino and Castle, {Jessica R.} and Konstantia Zarkogianni and Rahul Narayan and Clara Mosquera-Lopez",

year = "2024",

language = "English",

volume = "17",

pages = "19--41",

journal = "IEEE Reviews in Biomedical Engineering",

issn = "1937-3333",

publisher = "IEEE",

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Jacobs, PG, Herrero, P, Facchinetti, A, Vehi, J, Kovatchev, B, Breton, M, Cinar, A, Nikita, KS, Doyle, F, Bondia, J, Battelino, T, Castle, JR, Zarkogianni, K, Narayan, R & Mosquera-Lopez, C 2024, 'Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities', IEEE Reviews in Biomedical Engineering, vol. 17, pp. 19-41. <https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Artificial%20intelligence%20and%20machine%20learning%20for%20improving%20glycemic%20control%20in%20diabetes:%20best%20practices,%20pitfalls%20and%20opportunities>

TY - JOUR

T1 - Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities

AU - Jacobs, Peter G.

AU - Herrero, Pau

AU - Facchinetti, Andrea

AU - Vehi, Josep

AU - Kovatchev, Boris

AU - Breton, Marc

AU - Cinar, Ali

AU - Nikita, Konstantina S.

AU - Doyle, Frank

AU - Bondia, Jorge

AU - Battelino, Tatej

AU - Castle, Jessica R.

AU - Zarkogianni, Konstantia

AU - Narayan, Rahul

AU - Mosquera-Lopez, Clara

PY - 2024

Y1 - 2024

M3 - Article

SN - 1937-3333

VL - 17

SP - 19

EP - 41

JO - IEEE Reviews in Biomedical Engineering

JF - IEEE Reviews in Biomedical Engineering

ER -