Louhi 2014: Special issue on health text mining and information analysis.

about

Louhi 2014: Special issue on health text mining and information analysis.

Item

http://www.wikidata.org/entity/Q42416906

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Louhi 2014: Special issue on health text mining and information analysis.

@en

Louhi 2014: Special issue on health text mining and information analysis.

@nl

type

Item

label

Louhi 2014: Special issue on health text mining and information analysis.

@en

Louhi 2014: Special issue on health text mining and information analysis.

@nl

prefLabel

Louhi 2014: Special issue on health text mining and information analysis.

@en

Louhi 2014: Special issue on health text mining and information analysis.

@nl

P1476

Louhi 2014: Special issue on health text mining and information analysis

@en

P2093

Aron Henriksson

http://www.w3.org/2001/XMLSchema#string

Hercules Dalianis

http://www.w3.org/2001/XMLSchema#string

Maria Kvist

http://www.w3.org/2001/XMLSchema#string

Maria Skeppstedt

http://www.w3.org/2001/XMLSchema#string

Martin Duneld

http://www.w3.org/2001/XMLSchema#string

P2860

Using text-mining techniques in electronic patient records to identify ADRs from medicine use

What can natural language processing do for clinical decision support?

Automatic de-identification of textual documents in the electronic health record: a review of recent research.

Louhi 2010: Special issue on Text and Data Mining of Health Documents.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

A semantic and syntactic text simplification tool for health content.

Text mining of cancer-related information: review of current status and future directions.

A systematic literature review of automated clinical coding and classification systems

Advances in electronic surveillance for healthcare-associated infections in the 21st Century: a systematic review.

Text mining and information analysis of health documents.

P2888

1472-6947-15-s2-s1

P304

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/1472-6947-15-S2-S1

http://www.w3.org/2001/XMLSchema#string

P478

15 Suppl 2

http://www.w3.org/2001/XMLSchema#string

P50

Sumithra Velupillai

P577

2015-06-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1008699725

http://www.w3.org/2001/XMLSchema#string

P698

26099575

http://www.w3.org/2001/XMLSchema#string

P932

4474544

http://www.w3.org/2001/XMLSchema#string