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Predicting Chronic Kidney Disease in Type 2 Diabetes Using Natural Language Processing on Healthcare Data
2025·1 Zitationen·Kidney DiseasesOpen Access
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Zitationen
18
Autoren
2025
Jahr
Abstract
Unstructured EHR data enabled the development of a predictive model for 2-year CKD risk in persons with T2DM. Improving EHR data completeness remains essential to enhance future predictive modeling.
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Autoren
- Juan F. Navarro‐González
- Leopoldo Pérez de Isla
- Gloria Cánovas Molina
- Miguel Brito-Sanfiel
- David E. Barajas Galindo
- L Olmedo
- Dı́dac Mauricio
- Santiago Tofé
- Jason Barro
- Matilde Rubio-Almanza
- John Sanchez
- Miren Sequera Mutiozabal
- Belén Pimentel
- Ana Pérez Domínguez
- Carlos Arias-Cabrales
- Víctor Fanjul
- Antonio Jesús Blanco-Carrasco
- Juan Francisco Merino-Torres
Institutionen
- Universidad de La Laguna(ES)
- Instituto de Salud Carlos III(ES)
- Universidad Fernando Pessoa Canarias(ES)
- Hospital Universitario Nuestra Señora de Candelaria(ES)
- Hospital Clínico San Carlos(ES)
- Hospital Universitario de Fuenlabrada(ES)
- Hospital Universitario Puerta de Hierro Majadahonda(ES)
- Hospital de León(ES)
- Hospital Universitario Río Hortega(ES)
- Hospital de Sant Pau(ES)
- Hospital Universitario Infanta Sofía(ES)
- Hospital Clínic de Barcelona(ES)
Themen
Machine Learning in HealthcareArtificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education