Development of Clinical Phenotype Extraction and Application Based on Electronic Medical Records (EMR) Data / 医学信息学杂志
Journal of Medical Informatics
; (12): 6-10, 2017.
Article
in Zh
| WPRIM
| ID: wpr-669162
Responsible library:
WPRO
ABSTRACT
Based on the introduction to the clinical phenotype extraction technique,the paper conducts systematic review on the extraction of clinical phenotype from Electronic Medical Records (EMR) of diabetes by taking advantages of the clinical decision support technique,natural language processing technique and machine learning method,and indicates that the deep learning method can be used to extract clinical phenotype from the EMR data more effectively and accurately,help clinical researchers better conduct clinical tests,and improve the medical care level.
Full text:
1
Index:
WPRIM
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Journal of Medical Informatics
Year:
2017
Type:
Article