학술논문

Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke
Document Type
article
Source
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-9 (2021)
Subject
Natural language processing
Disease subtyping
Stroke
Cerebral hemorrhage
Brain scan
Computer applications to medicine. Medical informatics
R858-859.7
Language
English
ISSN
1472-6947
Abstract
Abstract Background Better phenotyping of routinely collected coded data would be useful for research and health improvement. For example, the precision of coded data for hemorrhagic stroke (intracerebral hemorrhage [ICH] and subarachnoid hemorrhage [SAH]) may be as poor as