Cargando…
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study
BACKGROUND: Electronic medical records have opened opportunities to analyze clinical practice at large scale. Structured registries and coding procedures such as the International Classification of Primary Care further improved these procedures. However, a large part of the information about the sta...
Autores principales: | Van Olmen, Josefien, Van Nooten, Jens, Philips, Hilde, Sollie, Annet, Daelemans, Walter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049643/ https://www.ncbi.nlm.nih.gov/pubmed/35442903 http://dx.doi.org/10.2196/37771 |
Ejemplares similares
-
The Promise of Digital Self-Management: A Reflection about the Effects of Patient-Targeted e-Health Tools on Self-Management and Wellbeing
por: van Olmen, Josefien
Publicado: (2022) -
The effectiveness of text messages support for diabetes self-management: protocol of the TEXT4DSM study in the democratic Republic of Congo, Cambodia and the Philippines
por: van Olmen, Josefien, et al.
Publicado: (2013) -
Artificial Intelligence-Driven Structurization of Diagnostic Information in Free-Text Pathology Reports
por: Giannaris, Pericles S., et al.
Publicado: (2020) -
Training in Interprofessional Learning and Collaboration: An Evaluation of the Interprofessional Education Program in the Scale-up Phase in Antwerp (Belgium)
por: Tsakitzidis, Giannoula, et al.
Publicado: (2021) -
Predicting near-term glaucoma progression: An artificial intelligence approach using clinical free-text notes and data from electronic health records
por: Jalamangala Shivananjaiah, Sunil K., et al.
Publicado: (2023)