| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A recent advance in the automatic indexing of the biomedical literature
|
Névéol, Aurélie
|
|
2009
|
42 |
5 |
p. 814-823
10 p.
|
artikel
|
| 2 |
Assigning roles to protein mentions: The case of transcription factors
|
Yang, Hui
|
|
2009
|
42 |
5 |
p. 887-894
8 p.
|
artikel
|
| 3 |
Automatically extracting cancer disease characteristics from pathology reports into a Disease Knowledge Representation Model
|
Coden, Anni
|
|
2009
|
42 |
5 |
p. 937-949
13 p.
|
artikel
|
| 4 |
Automatic summarization of MEDLINE citations for evidence-based medical treatment: A topic-oriented evaluation
|
Fiszman, Marcelo
|
|
2009
|
42 |
5 |
p. 801-813
13 p.
|
artikel
|
| 5 |
Building a semantically annotated corpus of clinical texts
|
Roberts, Angus
|
|
2009
|
42 |
5 |
p. 950-966
17 p.
|
artikel
|
| 6 |
Collaborative text-annotation resource for disease-centered relation extraction from biomedical text
|
Cano, C.
|
|
2009
|
42 |
5 |
p. 967-977
11 p.
|
artikel
|
| 7 |
ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports
|
Harkema, Henk
|
|
2009
|
42 |
5 |
p. 839-851
13 p.
|
artikel
|
| 8 |
Current issues in biomedical text mining and natural language processing
|
Chapman, Wendy W.
|
|
2009
|
42 |
5 |
p. 757-759
3 p.
|
artikel
|
| 9 |
Ed Board
|
|
|
2009
|
42 |
5 |
p. IFC-
1 p.
|
artikel
|
| 10 |
Feature generation and representations for protein–protein interaction classification
|
Lan, Man
|
|
2009
|
42 |
5 |
p. 866-872
7 p.
|
artikel
|
| 11 |
Feature selection techniques for maximum entropy based biomedical named entity recognition
|
Saha, Sujan Kumar
|
|
2009
|
42 |
5 |
p. 905-911
7 p.
|
artikel
|
| 12 |
Improving accuracy for identifying related PubMed queries by an integrated approach
|
Lu, Zhiyong
|
|
2009
|
42 |
5 |
p. 831-838
8 p.
|
artikel
|
| 13 |
Porting a lexicalized-grammar parser to the biomedical domain
|
Rimell, Laura
|
|
2009
|
42 |
5 |
p. 852-865
14 p.
|
artikel
|
| 14 |
Rule-based information extraction from patients’ clinical data
|
Mykowiecka, Agnieszka
|
|
2009
|
42 |
5 |
p. 923-936
14 p.
|
artikel
|
| 15 |
Specializing for predicting obesity and its co-morbidities
|
Goldstein, Ira
|
|
2009
|
42 |
5 |
p. 873-886
14 p.
|
artikel
|
| 16 |
Table of Contents
|
|
|
2009
|
42 |
5 |
p. i-ii
nvt p.
|
artikel
|
| 17 |
Text-mining approach to evaluate terms for ontology development
|
Tsoi, Lam C.
|
|
2009
|
42 |
5 |
p. 824-830
7 p.
|
artikel
|
| 18 |
The value of parsing as feature generation for gene mention recognition
|
Smith, Larry H.
|
|
2009
|
42 |
5 |
p. 895-904
10 p.
|
artikel
|
| 19 |
Towards identifying intervention arms in randomized controlled trials: Extracting coordinating constructions
|
Chung, Grace Yuet-Chee
|
|
2009
|
42 |
5 |
p. 790-800
11 p.
|
artikel
|
| 20 |
Towards role-based filtering of disease outbreak reports
|
Doan, Son
|
|
2009
|
42 |
5 |
p. 773-780
8 p.
|
artikel
|
| 21 |
Tracking medical students’ clinical experiences using natural language processing
|
Denny, Joshua C.
|
|
2009
|
42 |
5 |
p. 781-789
9 p.
|
artikel
|
| 22 |
Using UMLS to construct a generalized hierarchical concept-based dictionary of brain functions for information extraction from the fMRI literature
|
Hsiao, Mei-Yu
|
|
2009
|
42 |
5 |
p. 912-922
11 p.
|
artikel
|
| 23 |
What can natural language processing do for clinical decision support?
|
Demner-Fushman, Dina
|
|
2009
|
42 |
5 |
p. 760-772
13 p.
|
artikel
|
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