Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study
BackgroundThe electronic health record (EHR) contains a wealth of medical information. An organized EHR can greatly help doctors treat patients. In some cases, only limited patient information is collected to help doctors make treatment decisions. Because EHRs can serve as a reference for this limit...
Saved in:
Main Authors: | Chen, Yen-Pin (Author), Lo, Yuan-Hsun (Author), Lai, Feipei (Author), Huang, Chien-Hua (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records
by: Jingfeng Chen, et al.
Published: (2022) -
Retrieval of a fractured tooth fragment embedded in the lower lip
by: Vijayakumar Rajendran, et al.
Published: (2013) -
Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces
by: Akshay Sridhar, et al.
Published: (2015) -
An artificially intelligent (or algorithm-enhanced) electronic medical record in orofacial pain
by: Anette Paulina Vistoso Monreal, et al.
Published: (2021) -
Wearable Electronics and Embedded Computing Systems
by: Gaetano Valenza
Published: (2017)