PheValuator: Development and evaluation of a phenotype algorithm evaluator (English)
- New search for: Swerdel, Joel N.
- New search for: Hripcsak, George
- New search for: Ryan, Patrick B.
- New search for: Swerdel, Joel N.
- New search for: Hripcsak, George
- New search for: Ryan, Patrick B.
In:
Journal of Biomedical Informatics
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97
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2019
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ISSN:
- Article (Journal) / Electronic Resource
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Title:PheValuator: Development and evaluation of a phenotype algorithm evaluator
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Contributors:
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Published in:
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Publisher:
- New search for: Elsevier Inc.
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Publication date:2019-07-28
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:Phenotype algorithms , Validation , Diagnostic predictive modeling , AF , Atrial Fibrillation , AMI , Acute Myocardial Infarction , AUC , Area Under Receiver Operator Characteristics Curve , CCAE , IBM® MarketScan® Commercial Claims and Encounters Database , CDM , Common Data Model , CKD , Chronic Kidney Disease , CPT-4 , Current Procedural Terminology, 4th Edition , eGFR , estimated Glomerular Filtration Rate , ICD-9 , International Classification of Diseases, Ninth Revision , IRB , Institutional Review Board , LASSO , Least Absolute Shrinkage and Selection Operator , MDCD , IBM® MarketScan® Multi-State Medicaid , MDCR , IBM® MarketScan® Medicare Supplemental and Coordination of Benefits Database , NPV , Negative Predictive Value , PA , Phenotype Algorithm , PLP , Patient Level Prediction , PPV , Positive Predictive Value , SNOMED , Systematized Nomenclature of Medicine
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Source:
Table of contents – Volume 97
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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The value of missing information in severity of illness score developmentAgor, Joseph / Özaltın, Osman Y. / Ivy, Julie S. / Capan, Muge / Arnold, Ryan / Romero, Santiago et al. | 2019
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Readmission prediction using deep learning on electronic health recordsAshfaq, Awais / Sant’Anna, Anita / Lingman, Markus / Nowaczyk, Sławomir et al. | 2019
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Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease)Beunza, Juan-Jose / Puertas, Enrique / García-Ovejero, Ester / Villalba, Gema / Condes, Emilia / Koleva, Gergana / Hurtado, Cristian / Landecho, Manuel F. et al. | 2019
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Cover 2: Editorial Board| 2019
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Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking statusReps, Jenna M. / Rijnbeek, Peter R. / Ryan, Patrick B. et al. | 2019
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Cross-registry neural domain adaptation to extract mutational test results from pathology reportsRios, Anthony / Durbin, Eric B. / Hands, Isaac / Arnold, Susanne M. / Shah, Darshil / Schwartz, Stephen M. / Goulart, Bernardo H.L. / Kavuluru, Ramakanth et al. | 2019
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PheValuator: Development and evaluation of a phenotype algorithm evaluatorSwerdel, Joel N. / Hripcsak, George / Ryan, Patrick B. et al. | 2019
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Serious games for rehabilitation: Gestural interaction in personalized gamified exercises through a recommender systemGonzález-González, Carina S. / Toledo-Delgado, Pedro A. / Muñoz-Cruz, Vanesa / Torres-Carrion, Pablo V. et al. | 2019
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fmiii: Copyright/ID Statement| 2019
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Cover 1/Spine| 2019
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Genome-wide analysis of multi-view data of miRNA-seq to identify miRNA biomarkers for stomach cancerPant, Namrata / Rakshit, Somnath / Paul, Sushmita / Saha, Indrajit et al. | 2019
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fmi-ii: Table of Contents| 2019