Development of phenotype algorithms using electronic medical records and incorporating natural language processing.
about
How next-generation sequencing and multiscale data analysis will transform infectious disease management.A comparison between physicians and computer algorithms for form CMS-2728 data reporting.Phenome-wide heritability analysis of the UK BiobankMethods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.The Biobank Portal for Partners Personalized Medicine: A Query Tool for Working with Consented Biobank Samples, Genotypes, and Phenotypes Using i2b2.Electronic medical record phenotyping using the anchor and learn framework.Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making.Integrating Bio-ontologies and Controlled Clinical Terminologies: From Base Pairs to Bedside Phenotypes.The use of electronic health records for psychiatric phenotyping and genomics.Surrogate-assisted feature extraction for high-throughput phenotyping.Development and significance of automated history-taking software for clinical medicine, clinical research and basic medical science.Mining comorbidity patterns using retrospective analysis of big collection of outpatient records.The MELD-Plus: A generalizable prediction risk score in cirrhosis.Enabling phenotypic big data with PheNorm.Automated disease cohort selection using word embeddings from Electronic Health Records.Reproductive management in dairy cows - the future.High-fidelity phenotyping: richness and freedom from bias.Natural language processing of clinical notes for identification of critical limb ischemia.Using technology to support clinical care and research in rheumatoid arthritis.Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis.Automatic infection detection based on electronic medical records.Development of an Algorithm to Identify Patients with Physician-Documented Insomnia.Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.A Semantic Transformation Methodology for the Secondary Use of Observational Healthcare Data in Postmarketing Safety Studies.Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.
P2860
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P2860
Development of phenotype algorithms using electronic medical records and incorporating natural language processing.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
Development of phenotype algor ...... g natural language processing.
@ast
Development of phenotype algor ...... g natural language processing.
@en
type
label
Development of phenotype algor ...... g natural language processing.
@ast
Development of phenotype algor ...... g natural language processing.
@en
prefLabel
Development of phenotype algor ...... g natural language processing.
@ast
Development of phenotype algor ...... g natural language processing.
@en
P2093
P2860
P356
P1433
P1476
Development of phenotype algor ...... g natural language processing.
@en
P2093
Ashwin N Ananthakrishnan
Elizabeth W Karlson
Guergana K Savova
Katherine P Liao
Shawn N Murphy
Stanley Y Shaw
Susanne Churchill
Tianxi Cai
Vivian S Gainer
Zongqi Xia
P2860
P356
10.1136/BMJ.H1885
P407
P577
2015-04-24T00:00:00Z