Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
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Big data for bipolar disorder.Building bridges across electronic health record systems through inferred phenotypic topics.Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF ProjectR-U policy frontiers for health data de-identificationAutomated methods for the summarization of electronic health recordsBig data in medicine is driving big changesClinical research informatics and electronic health record dataFunctional evaluation of out-of-the-box text-mining tools for data-mining tasks.Locating relevant patient information in electronic health record data using representations of clinical concepts and database structures.How next-generation sequencing and multiscale data analysis will transform infectious disease management.Learning statistical models of phenotypes using noisy labeled training data.Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.Comparison of Approaches for Heart Failure Case Identification From Electronic Health Record Data.Dissenting from care.data: an analysis of opt-out forms.Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.Building the graph of medicine from millions of clinical narratives.Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows.Patient question set proliferation: scope and informatics challenges of patient question set management in a large multispecialty practice with case examples pertaining to tobacco use, menopause, and Urology and Orthopedics specialties.Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studiesThe intelligent use and clinical benefits of electronic medical records in multiple sclerosisDesiderata for computable representations of electronic health records-driven phenotype algorithms.Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records.DISCOVERING PATIENT PHENOTYPES USING GENERALIZED LOW RANK MODELSPatient Stratification Using Electronic Health Records from a Chronic Disease Management Program.A multi-institution evaluation of clinical profile anonymizationElectronic Health Record Based Algorithm to Identify Patients with Autism Spectrum DisorderDeveloping an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.Reducing Clinical Noise for Body Mass Index Measures Due to Unit and Transcription Errors in the Electronic Health Record.The derivation and validation of a simple model for predicting in-hospital mortality of acutely admitted patients to internal medicine wards.Developing Electronic Health Record Algorithms That Accurately Identify Patients With Systemic Lupus Erythematosus.Problems, challenges and promises: perspectives on precision medicine.Use of emergency department electronic medical records for automated epidemiological surveillance of suicide attempts: a French pilot study.Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records.Using Arden Syntax to identify registry-eligible very low birth weight neonates from the Electronic Health Record.Parameterizing time in electronic health record studies.Advances in translational biomedicine from systems approaches.Danish clinical quality databases - an important and untapped resource for clinical research.Disseminating informatics knowledge and training the next generation of leaders.Human symptoms-disease network.
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P2860
Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
description
2013 nî lūn-bûn
@nan
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
2013年论文
@zh
2013年论文
@zh-cn
name
Electronic health records-driv ...... ent advances, and perspectives
@en
Electronic health records-driv ...... ent advances, and perspectives
@nl
type
label
Electronic health records-driv ...... ent advances, and perspectives
@en
Electronic health records-driv ...... ent advances, and perspectives
@nl
prefLabel
Electronic health records-driv ...... ent advances, and perspectives
@en
Electronic health records-driv ...... ent advances, and perspectives
@nl
P2093
P2860
P1476
Electronic health records-driv ...... ent advances, and perspectives
@en
P2093
Abel N Kho
Joshua C Denny
Jyotishman Pathak
P2860
P304
P356
10.1136/AMIAJNL-2013-002428
P577
2013-12-01T00:00:00Z