Cargando…
Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools d...
Autores principales: | Neves, Ana Luisa, Pereira Rodrigues, Pedro, Mulla, Abdulrahim, Glampson, Ben, Willis, Tony, Darzi, Ara, Mayer, Erik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327849/ https://www.ncbi.nlm.nih.gov/pubmed/34330856 http://dx.doi.org/10.1136/bmjopen-2020-046716 |
Ejemplares similares
-
Impact of sharing electronic health records with patients on the quality and safety of care: a systematic review and narrative synthesis protocol
por: Neves, Ana Luisa, et al.
Publicado: (2018) -
Electronic Health Records, Interoperability and Patient Safety in Health Systems of High-income Countries: A Systematic Review Protocol
por: Li, Edmond, et al.
Publicado: (2021) -
Recommendations for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research
por: Hersh, William R., et al.
Publicado: (2013) -
Quality Measure Performance in Small Practices Before and After Electronic Health Record Adoption
por: McCullough, Colleen M., et al.
Publicado: (2015) -
Development and Implementation of an Electronic Decision Support to Manage the Health of a High-Risk Population: The enhanced Electronic Medical Record Aging Brain Care Software (eMR-ABC)
por: Frame, Amie, et al.
Publicado: (2013)