about
Clinical genomics in the world of the electronic health recordPossibilities and Implications of Using the ICF and Other Vocabulary Standards in Electronic Health RecordsClinical research informatics: a conceptual perspectiveTrends in biomedical informatics: automated topic analysis of JAMIA articlesBenchmarking clinical speech recognition and information extraction: new data, methods, and evaluationsExtracting research-quality phenotypes from electronic health records to support precision medicineKnowledge management and informatics considerations for comparative effectiveness research: a case-driven explorationMulti-Institutional Sharing of Electronic Health Record Data to Assess Childhood ObesityLeveraging EHR data for outcomes and comparative effectiveness research in oncologyMining the pharmacogenomics literature--a survey of the state of the artHealthRecSys: A semantic content-based recommender system to complement health videosIdentifying barriers to patient acceptance of active surveillance: content analysis of online patient communicationsAutomated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.Barriers to retrieving patient information from electronic health record data: failure analysis from the TREC Medical Records Track.Caveats for the use of operational electronic health record data in comparative effectiveness research.A simple method to extract key maternal data from neonatal clinical notesLeveraging cues from person-generated health data for peer matching in online communities.Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol.[Big data, medical language and biomedical terminology systems].NETIMIS: Dynamic Simulation of Health Economics Outcomes Using Big Data.Quality of EHR data extractions for studies of preterm birth in a tertiary care center: guidelines for obtaining reliable data.Natural Language Processing-Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability StudyEthical perspectives on recommending digital technology for patients with mental illnessToward Community Standards and Software for Whole-Cell ModelingPublic Response to Obamacare on TwitterAbstractions for GenomicsText mining for adverse drug events: the promise, challenges, and state of the art.NOBLE - Flexible concept recognition for large-scale biomedical natural language processingReasons for discontinuation of lipid-lowering medications in patients with chronic kidney disease.Improved de-identification of physician notes through integrative modeling of both public and private medical text.Genetic variation in the HLA region is associated with susceptibility to herpes zosterChief complaint-based performance measures: a new focus for acute care quality measurement.Seeking and receiving social support on Facebook for surgery.Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.Developing a section labeler for clinical documents.Developing an eBook-Integrated High-Fidelity Mobile App Prototype for Promoting Child Motor Skills and Taxonomically Assessing Children's Emotional Responses Using Face and Sound Topology.Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical RecordsPreliminary analysis of in utero low-level arsenic exposure and fetal growth using biometric measurements extracted from fetal ultrasound reports.Networks of neuroinjury semantic predications to identify biomarkers for mild traumatic brain injury
P2860
Q26998796-40670EA7-9535-4833-9DA0-085D6F73828AQ27007854-2D5B6EBB-C75D-4107-8549-FF6BE8D35EC9Q28386227-4CAD67A0-5B0D-4474-BED7-021030483E11Q28596404-7F947DF2-6E59-4D8D-8794-565FC0867D77Q28647692-3BF3E128-2398-49EE-9750-1A3F5D80680FQ28648163-6354E71A-45A5-4EC8-ABFE-13328DE7A6ADQ28659547-E0FD8052-3EF2-4B5C-BDCF-8CFE52A4FCA4Q28681246-B433358B-11F2-4FDC-A1C5-0120B2909665Q28714247-2521A7A0-51F5-4FF5-9581-171E11967287Q28728833-BFA6F2F6-C09D-4812-83E0-91A5FF7E2B3EQ29994687-B2DF34BC-7681-426A-92C1-31BB68D6EF58Q30417174-85B7544A-9E07-424F-8E38-3DC2B4C4D7A0Q30487895-E6296791-22AD-48A5-B839-B4718C962E77Q30585411-D28D8691-D10D-4872-BB75-52AFDD3C695AQ30649696-2B451939-12AE-45C7-A613-C0DC7C9C1264Q30759888-C1BADF78-3AA8-4627-B0AC-07A7B5F2494DQ30770048-4F788E29-76D3-4D3C-9052-0BF24AF298DEQ30863601-53CCDD64-D11A-406B-8C6F-EDF6DF924240Q30883204-5147A9E8-4683-434E-8D10-6EEFD9F7BADDQ30972416-00682499-9326-4E0A-9C20-A3FC7F841FCFQ31046083-C7AFCD4D-EE84-45DC-AA20-E1DB71ADB783Q31088088-6E0644B7-D108-44A9-AEA7-67159A101631Q31139797-7A18504E-9E97-4BD7-A9AC-646D91837A0EQ33452580-7610AA23-043A-4827-B8B2-05952DE59751Q33746668-6950E41B-CA57-48A8-A1FB-AF4874D95963Q33784791-96862DF9-60B2-4315-992F-B3AA5C23D537Q34279994-7CCFD3C3-E219-4455-BD93-0A11D97BF4FEQ34442663-D8CF3671-8220-48C4-8C1E-7313E4F128EBQ34508872-13223BB2-C5DB-49CB-8752-543261D94E70Q34985796-8037CF05-9CE5-4A34-83A5-946F0DFC473BQ35003628-47A5026F-5F3C-48B2-BDB4-42ED893338C8Q35020397-A844E2D4-56F9-4A5F-B656-343B2B03EE76Q35220328-A2ACF426-93C6-464F-9E84-347F08858BBDQ35236143-E41480E7-36B0-4D2F-9602-67326CB8EDFDQ35469161-3EAB1C97-DEAC-4C59-8CA3-C028954FB74DQ35570044-929942E5-2A2E-4221-B1C4-5989AAACCBCAQ35570261-F9D70F84-EC77-4560-9568-D78F44659E6BQ35570271-ACB91642-860B-449A-BB98-73DDB2D81FF8Q35601304-2EB3BC7D-C782-4714-BBF3-1B80D88A65ABQ35620387-84D180AE-9BA4-4B2C-B206-FBDFFA75DD5E
P2860
description
2011 nî lūn-bûn
@nan
2011 թուականին հրատարակուած գիտական յօդուած
@hyw
2011 թվականին հրատարակված գիտական հոդված
@hy
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
name
Natural language processing: an introduction
@ast
Natural language processing: an introduction
@en
Natural language processing: an introduction
@nl
type
label
Natural language processing: an introduction
@ast
Natural language processing: an introduction
@en
Natural language processing: an introduction
@nl
prefLabel
Natural language processing: an introduction
@ast
Natural language processing: an introduction
@en
Natural language processing: an introduction
@nl
P2860
P3181
P1476
Natural language processing: an introduction
@en
P2093
Prakash M Nadkarni
P2860
P304
P3181
P356
10.1136/AMIAJNL-2011-000464
P407
P577
2011-01-01T00:00:00Z