Publications by authors named "M Rosa Sanabria"
Article Synopsis
- Aortic valve stenosis (AS) is a chronic disease that progresses at different rates among patients, making it challenging to predict its progression.* -
- This study utilized machine and deep learning algorithms on data from 303 patients to forecast AS progression over the next 2 and 5 years, showing that the LightGBM model yielded the best predictive performance.* -
- The findings suggest that using AI in clinical settings can improve the risk assessment of AS, effectively predicting the disease progression and outcomes for patients with mild-to-moderate AS.*
Distinguishing word identity and sequence context in DNA language models.
BMC Bioinformatics
September 2024
Transformer-based large language models (LLMs) are very suited for biological sequence data, because of analogies to natural language. Complex relationships can be learned, because a concept of "words" can be generated through tokenization. Training the models with masked token prediction, they learn both token sequence identity and larger sequence context.
View Article and Find Full Text PDFValidation of the Kidney Failure Risk Equation in the Colombian Population.
Int J Nephrol
February 2024
Introduction: Chronic kidney disease prevention programs must identify patients at risk of early progression to provide better treatment and prolong kidney replacement therapy-free survival. Risk equations have been developed and validated in cohorts outside of Colombia, so this study aims to evaluate the discrimination and calibration of the four-variable kidney failure risk equation in a Colombian population where it has yet to be validated.
Methods: External validation study of a kidney failure risk equation using a historical cohort of patients with CKD stages 3, 4, and 5, adults without a history of dialysis or kidney transplantation with a two-year follow-up, belonging to the Baxter Renal Care Services Colombia network.
Purpose: Considering the importance of incorporating quality of life (QoL) construct during the health care of patients with stage 5 chronic kidney disease (CKD) on dialysis, it is necessary to have evidence on the clinimetric properties of the instruments used for its measurement. This study aimed to establish the clinimetric properties of the Kidney Disease Quality of Life Short Form 36 (KDQOL-36) scale in patients with stage 5 CKD on dialysis in Colombia.
Methods: A scale validation study was conducted using the classical test theory methodology.