A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy-Reference-Cited by-同舟云学术

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A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy

Published:2024-10 Issue: Volume:190 Page:105550
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Musacchio Nicoletta,Zilich Rita,Masi Davide,Baccetti Fabio,Nreu Besmir,Bruno Giorda Carlo,Guaita Giacomo,Morviducci Lelio,Muselli Marco,Ozzello Alessandro,Pisani Federico,Ponzani Paola,Rossi Antonio,Santin Pierluigi,Verda Damiano,Di Cianni Graziano,Candido Riccardo

Publisher

Elsevier BV

Reference35 articles.

1. Reasons for not intensifying medications: differentiating “Clinical Inertia” from appropriate care;Safford;J. Gen. Intern. Med.,2007

2. Overview of therapeutic inertia in diabetes: prevalence, causes, and consequences;Karam;Diabetes Spectrum,2020

3. Clinical Inertia in Response to Inadequate Glycemic Control;Shah;Diabetes Care,2005

4. Overcoming therapeutic inertia: ADA perspective;Khunti;JAMD,2022

5. Therapeutic inertia in type 2 diabetes: prevalence, causes, consequences and methods to overcome inertia;Khunti;Therapeutic Adv. Endocrinol.,2019

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