Next-generation phenotyping of electronic health records.
about
'Big data' in mental health research: current status and emerging possibilitiesBig data for bipolar disorder.Biobanks and personalized medicineCoupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT ProlongationDon't take your EHR to heaven, donate it to science: legal and research policies for EHR post mortemSurveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal GenomicsIdentifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF ProjectTrends in biomedical informatics: automated topic analysis of JAMIA articlesDramatyping: a generic algorithm for detecting reasonable temporal correlations between drug administration and lab value alterationsBig data are coming to psychiatry: a general introductionExtracting research-quality phenotypes from electronic health records to support precision medicineDynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populationsValidation and enhancement of a computable medication indication resource (MEDI) using a large practice-based datasetMulti-Institutional Sharing of Electronic Health Record Data to Assess Childhood ObesityDevelopment and evaluation of an ensemble resource linking medications to their indicationsPersonalized glucose forecasting for type 2 diabetes using data assimilationReview and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Latent Patient Cluster Discovery for Robust Future Forecasting and New-Patient GeneralizationBirth month affects lifetime disease risk: a phenome-wide methodApplication of electronic medical record data for health outcomes research: a review of recent literature.Caveats for the use of operational electronic health record data in comparative effectiveness research.Applying active learning to high-throughput phenotyping algorithms for electronic health records dataInfluence of data quality on computed Dutch hospital quality indicators: a case study in colorectal cancer surgeryUsing the CER Hub to ensure data quality in a multi-institution smoking cessation study."Big data" and the electronic health record.EHR Big Data Deep Phenotyping. Contribution of the IMIA Genomic Medicine Working GroupClinical research informatics and electronic health record dataRecommendations for the use of operational electronic health record data in comparative effectiveness research.Quantification of diabetes comorbidity risks across life using nation-wide big claims dataVariation in Cohorts Derived from EHR Data in Four Care Delivery Settings.Barriers to using eHealth data for clinical performance feedback in Malawi: A case study.The Challenges of Data Quality Evaluation in a Joint Data Warehouse.Characterizing Secondary Use of Clinical Data.Research Data Explorer: Lessons Learned in Design and Development of Context-based Cohort Definition and Selection.An Integrative Data Science Pipeline to Identify Novel Drug Interactions that Prolong the QT Interval.Learning statistical models of phenotypes using noisy labeled training data.Using primary care electronic health record data for comparative effectiveness research: experience of data quality assessment and preprocessing in The Netherlands.Clinical Research Informatics for Big Data and Precision Medicine.Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order setsDiscriminative and Distinct Phenotyping by Constrained Tensor Factorization.
P2860
Q26741297-F94EE51C-B845-42DA-9CA8-34C9E28DD2CBQ26749257-5D94BCAC-03BE-4F62-B572-0E4D3878F6E3Q26866132-7A012DB4-8103-48BF-A2CA-E238F635A5C0Q27231482-61F8EC6B-9832-4E30-A880-B508E46EA024Q28297075-E2F8FB64-D8FC-46FB-A48C-E05E9C595DF0Q28542977-46CDA557-F359-4D2C-9850-C48D9E878537Q28553782-F00D2332-06FC-4054-84B0-DA928E7717A7Q28596404-381B1A18-8FBD-4D10-9077-5846A4FE9D70Q28601745-213B2063-9EB4-4C32-9273-2E9430C044E5Q28602477-9562BBFF-7A34-48DE-B175-56D8E1610432Q28648163-A707D38D-1A55-4795-BD94-A72B11752DF4Q28658124-F132624D-B6C8-42BD-86A4-3CA29B8C9986Q28660213-32D3481D-A9A8-4EFF-98F0-70D979583848Q28681246-D6D5BC1D-2F45-46BE-A7DD-93900BE51A1FQ28681394-F73FA525-8F44-4CFE-B83F-F5FA513F0B0EQ30000267-92910241-94AA-4067-B8A6-4E013FDC2D19Q30355563-FF081BF8-165F-4F0F-AC1E-C31F188EB6A1Q30373785-3F3E8CFF-E712-4C3C-93CE-849946F5BB21Q30375296-2F4665A9-395F-420A-90C5-133168E26A2EQ30613981-9FB65254-9DCA-49C2-9E20-B596B7D0F53EQ30649696-5F0EBE69-77ED-42BC-BC0D-740B80EB7456Q30655146-E33C3756-3FA3-4DF8-8182-C71A99C9C146Q30798214-5753B0C4-2D52-4654-9A67-2385F88B9BB4Q30835041-9F0A0F19-425E-4B38-9ED6-B372000426F7Q30842802-EF06A024-A6E5-4FA1-A55D-A5C5B36C8948Q30842817-E09EDA89-A44D-41A0-B21D-5BB78164376DQ30842819-9BD5B189-92C9-4195-9380-F2A228764BDAQ30925093-A57EFED1-33A4-4038-9716-5BB6DD2DD4D4Q30927990-83ECA957-3710-4BB7-B9E8-FB2165877DA5Q30947089-36173D11-67EB-4A53-93F6-28EA623F9404Q30984822-2D84F40E-DFE7-4F10-AE67-F77C73174BEDQ30988345-DC0DB755-B147-4094-ABD1-FD0CE64A1B4AQ30989696-CE447F3A-FA4D-4D9C-A5AE-204423CFE938Q30989705-92FEA25F-6460-4A95-8737-5B5D090C60C5Q31043880-048BB7AA-8AEB-42F7-BDCF-2BB699D52417Q31095809-2E06559B-7EF9-4B08-AAFE-A7924B76ADBBQ31110771-6FE414B0-A772-46C2-BA1B-20B7710F8F14Q31141724-2386EB53-0465-47A5-B0CE-5412D714E457Q33564893-C684B9A3-B4E8-4ADD-9F4A-2EFF960483B4Q33682411-5FD74C27-9B77-480A-9369-567CCBECC496
P2860
Next-generation phenotyping of electronic health records.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Next-generation phenotyping of electronic health records.
@ast
Next-generation phenotyping of electronic health records.
@en
type
label
Next-generation phenotyping of electronic health records.
@ast
Next-generation phenotyping of electronic health records.
@en
prefLabel
Next-generation phenotyping of electronic health records.
@ast
Next-generation phenotyping of electronic health records.
@en
P2860
P1476
Next-generation phenotyping of electronic health records.
@en
P2093
David J Albers
P2860
P304
P356
10.1136/AMIAJNL-2012-001145
P577
2012-09-06T00:00:00Z