about
Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.From data to knowledge through concept-oriented terminologies: experience with the Medical Entities DictionaryThe effect of sample size and disease prevalence on supervised machine learning of narrative data.Medical text representations for inductive learning.Using automatically extracted information from mammography reports for decision-support.Automatic detection of acute bacterial pneumonia from chest X-ray reportsThe role of domain knowledge in automating medical text report classification.
P2860
Q30380065-11DF64A0-17EF-4156-B5E4-C48BBDD96CF1Q30596906-7DF9F349-24F9-4758-AB65-8757CB2759BAQ30751664-6FF76DC5-4457-4A3C-9A90-7E8B0EC45D69Q36461026-76845CF8-B1D0-41A8-97E7-FDB2095E4C53Q39623472-4F0A59AF-EEE1-4631-9F73-68E4D86CE753Q39660969-00107204-2B68-493D-836E-BDCF48D4B9BEQ39856962-F13DAC4C-614E-4149-8A00-4EA5CE7049EA
P2860
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh
1999年學術文章
@zh-hant
name
Classification algorithms applied to narrative reports
@ast
Classification algorithms applied to narrative reports
@en
type
label
Classification algorithms applied to narrative reports
@ast
Classification algorithms applied to narrative reports
@en
prefLabel
Classification algorithms applied to narrative reports
@ast
Classification algorithms applied to narrative reports
@en
P2860
P1476
Classification algorithms applied to narrative reports
@en
P2093
P2860
P304
P577
1999-01-01T00:00:00Z