Concepedia

Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study)

Tarik Elhadd, Raghvendra Mall, Mohammed Bashir, João Palotti, Luis Fernández-Luque, Faisal Farooq, Dabia Al Mohanadi, Zainab Dabbous, Rayaz A. Malik, Abdul‐Badi Abou‐Samra

Diabetes Research and Clinical Practice · 2020 · 62 citations · 25 references

DOI Full text

Open access

Abstract

XGBoost, a machine learning AI algorithm achieves high predictive performance for normal and hyperglycaemic excursions, but has limited predictive value for hypoglycaemia in patients on multiple therapies who fast during Ramadan.

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