Malhotra et al. (54) |
3,007 MEDLINE abstracts, and annotations of
non-overlapping 200 randomly chosen abstracts |
HypothesisFinder (including dictionary based
named entity recognition and rule-based pattern recognition) |
HypothesisFinder can build hypothetical
protein interaction network. |
Greco et al. (55) |
Full text literature reviews, MEDLINE,
web-based reports, and databases (e.g., gene expression databases,
protein-pathway databases, protein-disease association databases) |
Text mining |
25 potential candidate biomarkers were found.
Two candidate biomarkers (i.e., Choline Acetyltransferase (ChAt) and
urokinase-type Plasminogen Activator Receptor (PLAUR)) have not been
reported previously. |
Li et al. (56) |
Online Predicted Human Interaction Database
(OPHID) for protein interaction, 222,609 AD-related MEDLINE abstracts
for AD drugs |
Molecular interaction network mining, text
mining |
17 candidate AD drugs were found |
Jonnalagadda et al. (57) |
MEDLINE abstracts |
Information extraction and semantic
information extraction |
336 AD-related sentences from 194 abstracts in
the MEDLINE, 84.5% of which were evaluated as relevant
abstracts |