Artificial intelligence techniques applied to the development of a decision-support system for diagnosing celiac disease.
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Early recognition of multiple sclerosis using natural language processing of the electronic health recordUse of computerized algorithm to identify individuals in need of testing for celiac disease.The utility of including pathology reports in improving the computational identification of patients.Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.
P2860
Artificial intelligence techniques applied to the development of a decision-support system for diagnosing celiac disease.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Artificial intelligence techni ...... for diagnosing celiac disease.
@en
Artificial intelligence techni ...... for diagnosing celiac disease.
@nl
type
label
Artificial intelligence techni ...... for diagnosing celiac disease.
@en
Artificial intelligence techni ...... for diagnosing celiac disease.
@nl
prefLabel
Artificial intelligence techni ...... for diagnosing celiac disease.
@en
Artificial intelligence techni ...... for diagnosing celiac disease.
@nl
P2093
P2860
P1476
Artificial intelligence techni ...... for diagnosing celiac disease.
@en
P2093
Anderson Diniz Hummel
Heimar de Fátima Marin
Ivan Torres Pisa
Josceli Maria Tenório
Vera Lucia Sdepanian
P2860
P304
P356
10.1016/J.IJMEDINF.2011.08.001
P577
2011-09-13T00:00:00Z