Getting more out of biomedical documents with GATE's full lifecycle open source text analytics
about
Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case RegisterPubMedPortable: A Framework for Supporting the Development of Text Mining ApplicationsProcessing biological literature with customizable Web services supporting interoperable formatsClinical records anonymisation and text extraction (CRATE): an open-source software systemExtracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process.Ethnicity and excess mortality in severe mental illness: a cohort studyAutomated semantic annotation of rare disease cases: a case studyOntoGene web services for biomedical text mining.Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows.Automated extraction of family history information from clinical notes.TextHunter--A User Friendly Tool for Extracting Generic Concepts from Free Text in Clinical Research.Text mining for neuroanatomy using WhiteText with an updated corpus and a new web application.Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes.A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set.Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method.Bias in the reporting of sex and age in biomedical research on mouse modelsEthnicity and cardiovascular health inequalities in people with severe mental illnesses: protocol for the E-CHASM studyAssociation between antipsychotic/antidepressant drug treatments and hospital admissions in schizophrenia assessed using a mental health case registerThe prevalence and correlates of self-harm in pregnant women with psychotic disorder and bipolar disorder.Predictors of care home and hospital admissions and their costs for older people with Alzheimer's disease: findings from a large London case register.Text mining applications in psychiatry: a systematic literature review.An Overview of Biomolecular Event Extraction from Scientific Documents.Associations of acetylcholinesterase inhibitor treatment with reduced mortality in Alzheimer's disease: a retrospective survival analysis.Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.PathNER: a tool for systematic identification of biological pathway mentions in the literature.Automatic mining of symptom severity from psychiatric evaluation notes.Clinical Information Extraction Applications: A Literature Review.Antipsychotic polypharmacy prescribing and risk of hospital readmission.Clinical decision support increases diagnostic yield of computed tomography for suspected pulmonary embolism.Clinical Natural Language Processing in languages other than English: opportunities and challenges.Prevalence and correlates of low-grade systemic inflammation in adult psychiatric inpatients: An electronic health record-based study.Hospitalization in people with dementia with Lewy bodies: Frequency, duration, and cost implications.Using the wayback machine to mine websites in the social sciences: A methodological resourceCharaParser+EQ: Performance evaluation without gold standardSIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notesRecorded atypical hallucinations in psychotic and affective disorders and associations with non-benzodiazepine hypnotic use: the South London and Maudsley Case Register
P2860
Q28547303-ED9D278B-BD2B-40AA-A98D-08A52AACE98DQ28554516-4D5B5209-E339-4754-8C5E-E29F7DF360B4Q28656000-3B1CA24D-CBC6-452D-A7D6-86447F57CAA6Q29994563-D8CA4B03-DEC7-44B3-9FC3-A1241B4A306EQ30981989-8912B8DE-89A9-44CD-8478-CA4E1D2C5E12Q33607654-714E6C27-4A75-4BA9-B94D-F3939C3EAC2DQ34392519-A278C887-F05A-4156-8944-DA08BA8D00BFQ34631646-87B55D7E-B530-4DEE-847C-CAC4F5CCBA41Q35190720-D04C0798-B828-48CE-8FB1-572F28CC2C93Q35570307-CD37D086-48AC-4B32-9E9A-20EF29EDB938Q35570517-2EC9B513-F2B5-4371-8740-91285470F9AFQ35630785-BE56EB63-638D-4143-87BD-B4DDA2A77E84Q35675661-643A34F7-2E5B-49F0-8F88-5C88A5BF8C86Q35988914-607410D1-FBED-44C1-A4D2-91CAA2AE1690Q36081015-00A10817-C7E8-4244-8F90-8243E85FFCFBQ36768049-6F184955-FEC1-40A9-B37E-F4993CD20511Q36772796-F6C60665-33D3-4B95-8DBD-A4157D94B670Q36848311-E1BC41B5-644B-4F74-BF47-C9CAFEE61518Q37253740-39C43CFA-E199-4676-AACA-2B5DA9E4C43BQ37454280-B9BBFF60-0FFE-435E-B0BC-6664FCCF23C8Q38549085-36E4C2BA-9A3C-4F6A-8381-B7C92D215A38Q38639689-EC5FD68E-C76D-4F1E-8CE4-B51A3755F639Q38706514-D61C8321-F806-4E49-827C-D600B4138D0BQ38785777-42707E2A-53B5-403B-AD18-D218B744D84CQ42391693-2E5010DF-3786-4A76-B8F7-063D893E7601Q42844532-FBFBBD44-B8B2-409F-94D3-7F5A1F073458Q47261111-53CD8886-1BFC-4656-A03B-37B4FC471694Q47433545-8F50F2C3-87E8-4AD9-AC3C-D3E8301FF21FQ47586829-D1F683F6-43EC-4C20-94B6-B363236B78B2Q47622379-CD532FEA-8694-4275-962E-09671683C97EQ52618423-33274C8B-1249-486C-B35F-E3B645CF87D8Q55016813-C9D11BD0-50D2-4D3C-A872-7902AEE01FDCQ55026760-A24DA17A-7836-4702-91F0-2639DCB0C2A6Q57379883-6F49D5A8-FD0D-4173-A7C2-5A2914838D57Q58046438-64CE085F-9DC9-422B-AB8F-46EBDA12F9E2Q58605223-547415C7-9652-467F-8B76-1124B713F34FQ59125668-6BAB90B3-0BC5-4A3D-B89C-D82950353A5F
P2860
Getting more out of biomedical documents with GATE's full lifecycle open source text analytics
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Getting more out of biomedical ...... cle open source text analytics
@ast
Getting more out of biomedical ...... cle open source text analytics
@en
Getting more out of biomedical ...... cle open source text analytics
@nl
type
label
Getting more out of biomedical ...... cle open source text analytics
@ast
Getting more out of biomedical ...... cle open source text analytics
@en
Getting more out of biomedical ...... cle open source text analytics
@nl
prefLabel
Getting more out of biomedical ...... cle open source text analytics
@ast
Getting more out of biomedical ...... cle open source text analytics
@en
Getting more out of biomedical ...... cle open source text analytics
@nl
P2860
P3181
P1476
Getting more out of biomedical ...... cle open source text analytics
@en
P2093
Hamish Cunningham
Valentin Tablan
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1002854
P407
P577
2013-01-01T00:00:00Z