Predicting diabetes mellitus metabolic goals and chronic complications transitions-analysis based on natural language processing and machine learning models.

ABSTRACT:

Objective

To estimate Diabetes mellitus (DM) progression at one and two years in terms of glycemic targets and development of complications.

Research design and methods

We analyzed a retrospective cohort of adult DM patients treated in a Health Maintenance Organization in Colombia, including those with at least one glycosylated hemoglobin (HbA1c) measurement in 2018, 2019, and 2020. We defined four disease transition stages based on metabolic goals according to HbA1c levels and complications: 1. Within HbA1c goals and without complications; 2. Outside goals and without complications, 3. Within goals, but with complications, and 4. Outside goals and with complications. We applied Natural Language Processing (NLP) techniques to extract relevant clinical information from Electr

SUBMITTER: Colmenares-Mejia CC 

PROVIDER: S-EPMC11999128 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature