Cargando…
A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews
BACKGROUND: Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. OBJECTIVE: The aim of this study...
Autores principales: | Chen, Jinying, Druhl, Emily, Polepalli Ramesh, Balaji, Houston, Thomas K, Brandt, Cynthia A, Zulman, Donna M, Vimalananda, Varsha G, Malkani, Samir, Yu, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799720/ https://www.ncbi.nlm.nih.gov/pubmed/29358159 http://dx.doi.org/10.2196/jmir.8669 |
Ejemplares similares
-
Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance
por: Chen, Jinying, et al.
Publicado: (2019) -
Automatic Figure Ranking and User Interfacing for Intelligent Figure Search
por: Yu, Hong, et al.
Publicado: (2010) -
Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives
por: Polepalli Ramesh, Balaji, et al.
Publicado: (2014) -
Figure-Associated Text Summarization and Evaluation
por: Polepalli Ramesh, Balaji, et al.
Publicado: (2015) -
Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach
por: Chen, Jinying, et al.
Publicado: (2017)