ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner Workflow
Author:
Publisher
OMICS Publishing Group
Subject
Materials Science (miscellaneous)
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Near Real-time Natural Language Processing for the Extraction of Abdominal Aortic Aneurysm Diagnoses From Radiology Reports: Algorithm Development and Validation Study;JMIR Medical Informatics;2023-02-24
2. Assessing quality and agreement of structured data in automatic versus manual abstraction of the electronic health record for a clinical epidemiology study;Research Methods in Medicine & Health Sciences;2021-09
3. Defining major depressive disorder cohorts using the EHR: Multiple phenotypes based on ICD-9 codes and medication orders;Neurology, Psychiatry and Brain Research;2020-06
4. Abdominal aortic aneurysm in prostate cancer patients: the “road map” from incidental detection to advanced predictive, preventive, and personalized approach utilizing common follow-up for both pathologies;EPMA Journal;2019-11-26
5. Defining Major Depressive Disorder Cohorts Using the EHR: Multiple Phenotypes Based on ICD-9 Codes and Medication Orders;2017-11-30
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