Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.
Zhuoqiao HongColin G. MagdamoYi-han SheuPrathamesh MohiteAyush NooriElissa M. YeWendong GeHaoqi SunLaura BrennerGregory K. RobbinsShibani MukerjiSahar ZafarNicole BensonLidia MouraJohn HsuBradley T. HymanM. Brandon WestoverDeborah BlackerSudeshna DasPublished in: CoRR (2020)
Keyphrases
- deep learning
- electronic health records
- natural language processing
- machine learning
- mental models
- unsupervised learning
- clinical data
- health care
- text mining
- medical data
- named entity recognition
- natural language
- clinical trials
- information extraction
- health records
- weakly supervised
- health information
- domain specific
- decision making
- semantic relations
- named entities
- question answering
- wordnet
- medical records
- knowledge discovery
- information systems
- artificial intelligence