Cargando…
Combining deep learning with token selection for patient phenotyping from electronic health records
Artificial intelligence provides the opportunity to reveal important information buried in large amounts of complex data. Electronic health records (eHRs) are a source of such big data that provide a multitude of health related clinical information about patients. However, text data from eHRs, e.g.,...
Autores principales: | Yang, Zhen, Dehmer, Matthias, Yli-Harja, Olli, Emmert-Streib, Frank |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989657/ https://www.ncbi.nlm.nih.gov/pubmed/31996705 http://dx.doi.org/10.1038/s41598-020-58178-1 |
Ejemplares similares
-
Against Dataism and for Data Sharing of Big Biomedical and Clinical Data with Research Parasites
por: Emmert-Streib, Frank, et al.
Publicado: (2016) -
Lessons from the Human Genome Project: Modesty, Honesty, and Realism
por: Emmert-Streib, Frank, et al.
Publicado: (2017) -
Utilizing Social Media Data for Psychoanalysis to Study Human Personality
por: Emmert-Streib, Frank, et al.
Publicado: (2019) -
Ensuring Quality Standards and Reproducible Research for Data Analysis Services in Oncology: A Cooperative Service Model
por: Emmert-Streib, Frank, et al.
Publicado: (2019) -
Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status
por: Emmert-Streib, Frank, et al.
Publicado: (2020)