Detalhe da pesquisa
1.
Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes.
Am J Hum Genet
; 103(1): 58-73, 2018 07 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-29961570
2.
Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.
Brief Bioinform
; 19(5): 863-877, 2018 09 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-28334070
3.
Ensembles of natural language processing systems for portable phenotyping solutions.
J Biomed Inform
; 100: 103318, 2019 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31655273
4.
A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.
BMC Med Inform Decis Mak
; 19(Suppl 3): 70, 2019 04 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-30943963
5.
Toward multimodal signal detection of adverse drug reactions.
J Biomed Inform
; 76: 41-49, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-29081385
6.
Monitoring prescribing patterns using regression and electronic health records.
BMC Med Inform Decis Mak
; 17(1): 175, 2017 Dec 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-29258594
7.
Proton pump inhibitors and risk for recurrent Clostridium difficile infection among inpatients.
Am J Gastroenterol
; 108(11): 1794-801, 2013 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-24060760
8.
Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine.
J Biomed Inform
; 46(5): 765-73, 2013 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-23810857
9.
An automated tool for detecting medication overuse based on the electronic health records.
Pharmacoepidemiol Drug Saf
; 22(2): 183-9, 2013 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-23233423
10.
A new clustering method for detecting rare senses of abbreviations in clinical notes.
J Biomed Inform
; 45(6): 1075-83, 2012 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-22742938
11.
Deriving a probabilistic syntacto-semantic grammar for biomedicine based on domain-specific terminologies.
J Biomed Inform
; 44(5): 805-14, 2011 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-21549857
12.
Mining multi-item drug adverse effect associations in spontaneous reporting systems.
BMC Bioinformatics
; 11 Suppl 9: S7, 2010 Oct 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-21044365
13.
Selecting information in electronic health records for knowledge acquisition.
J Biomed Inform
; 43(4): 595-601, 2010 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-20362071
14.
Characterizing environmental and phenotypic associations using information theory and electronic health records.
BMC Bioinformatics
; 10 Suppl 9: S13, 2009 Sep 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-19761567
15.
PhenoGO: an integrated resource for the multiscale mining of clinical and biological data.
BMC Bioinformatics
; 10 Suppl 2: S8, 2009 Feb 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-19208196
16.
Response to Abdallah et al.
Am J Gastroenterol
; 109(4): 602-3, 2014 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-24698871
17.
Response to Daniell.
Am J Gastroenterol
; 109(6): 922-3, 2014 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-24896761
18.
Semantic reclassification of the UMLS concepts.
Bioinformatics
; 24(17): 1971-3, 2008 Sep 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-18625612
19.
Methods for building sense inventories of abbreviations in clinical notes.
J Am Med Inform Assoc
; 16(1): 103-8, 2009.
Artigo
em Inglês
| MEDLINE | ID: mdl-18952935
20.
Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.
J Am Med Inform Assoc
; 16(3): 328-37, 2009.
Artigo
em Inglês
| MEDLINE | ID: mdl-19261932