Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts
about
Describing the relationship between cat bites and human depression using data from an electronic health record'Big data' in mental health research: current status and emerging possibilitiesUnderstanding Genotype-Phenotype Effects in Cancer via Network ApproachesUsing text-mining techniques in electronic patient records to identify ADRs from medicine useMining electronic health records: towards better research applications and clinical careNetwork analysis of unstructured EHR data for clinical researchPhenome-wide association studies on a quantitative trait: application to TPMT enzyme activity and thiopurine therapy in pharmacogenomicsUsing LASSO Regression to Predict Rheumatoid Arthritis Treatment EfficacyDetection of Cardiovascular Disease Risk's Level for Adults Using Naive Bayes ClassifierExpansion of medical vocabularies using distributional semantics on Japanese patient blogsCohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resourceBig data in medicine is driving big changesApplying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysisNegation scope and spelling variation for text-mining of Danish electronic patient recordsNetwork biology concepts in complex disease comorbiditiesDictionary construction and identification of possible adverse drug events in Danish clinical narrative textReply to 'Mining electronic health records: an additional perspective'Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric PopulationBirth month affects lifetime disease risk: a phenome-wide methodComputational phenotype discovery using unsupervised feature learning over noisy, sparse, and irregular clinical data"Big data" and the electronic health record.Comorbidity in Adult Patients Hospitalized with Type 2 Diabetes in Northeast China: An Analysis of Hospital Discharge Data from 2002 to 2013Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.Klinefelter syndrome comorbidities linked to increased X chromosome gene dosage and altered protein interactome activityLeveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric HospitalTowards building a disease-phenotype knowledge base: extracting disease-manifestation relationship from literature.Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depressionPatient stratification and identification of adverse event correlations in the space of 1190 drug related adverse events.Translational bioinformatics embraces big data.Mining cancer-specific disease comorbidities from a large observational health databaseImproving sensitivity of machine learning methods for automated case identification from free-text electronic medical recordsSystematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study datadRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text.Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows.Using text mining techniques to extract phenotypic information from the PhenoCHF corpusPredictive modeling of structured electronic health records for adverse drug event detection.Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity.Effect of Paget's disease of bone (osteitis deformans) on the progression of prostate cancer bone metastasis.Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learnedComorbidity Analysis According to Sex and Age in Hypertension Patients in China
P2860
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P2860
Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts
description
2011 nî lūn-bûn
@nan
2011 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի օգոստոսին 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
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@ast
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@en
type
label
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@ast
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@en
prefLabel
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@ast
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@en
P2093
P2860
P50
P3181
P1476
Using Electronic Patient Recor ...... s and Stratify Patient Cohorts
@en
P2093
Francisco S. Roque
Henriette Schmock
Karen Søeby
Marlene Dalgaard
Søren Bredkjær
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1002141
P50
P577
2011-08-25T00:00:00Z