Cargando…
The Disclosure of Personally Identifiable Information in Studies of Neighborhood Contexts and Patient Outcomes
Clinical epidemiology and patient-oriented health care research that incorporates neighborhood-level data is becoming increasingly common. A key step in conducting this research is converting patient address data to longitude and latitude data, a process known as geocoding. Several commonly used app...
Autores principales: | Rundle, Andrew Graham, Bader, Michael David Miller, Mooney, Stephen John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972108/ https://www.ncbi.nlm.nih.gov/pubmed/35103610 http://dx.doi.org/10.2196/30619 |
Ejemplares similares
-
Machine Learning Approaches for Measuring Neighborhood Environments in Epidemiologic Studies
por: Rundle, Andrew G., et al.
Publicado: (2022) -
Cognitive dysfunction after critical illness: measurement, rehabilitation, and disclosure
por: Misak, Cheryl
Publicado: (2009) -
Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era
por: Martini, Mariano, et al.
Publicado: (2021) -
The Dapagliflozin and Prevention of Adverse outcomes in Heart Failure trial (DAPA-HF) in context
por: McMurray, John J V, et al.
Publicado: (2020) -
Review of Extracting Information From the Social Web for Health Personalization
por: Fernandez-Luque, Luis, et al.
Publicado: (2011)