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Literature DB >> 15983338

Identification of patients with diabetes from the text of physician notes in the electronic medical record.

Alexander Turchin¹, Isaac S Kohane, Merri L Pendergrass.

Abstract

Entities: Disease Species

Mesh：

Year: 2005 PMID： 15983338 DOI： 10.2337/diacare.28.7.1794

Source DB: PubMed Journal: Diabetes Care ISSN： 0149-5992 Impact factor: 19.112

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Cited

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14 in total

1. Defining a comprehensive verotype using electronic health records for personalized medicine.

Authors: Mary Regina Boland; George Hripcsak; Yufeng Shen; Wendy K Chung; Chunhua Weng
Journal: J Am Med Inform Assoc Date: 2013-09-03 Impact factor: 4.497

2. Lexical concept distribution reflects clinical practice.

Authors: Eugene Breydo; Maria Shubina; James W Shalaby; Jonathan S Einbinder; Alexander Turchin
Journal: AMIA Annu Symp Proc Date: 2012-11-03

3. Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus.

Authors: Wei-Qi Wei; Cynthia L Leibson; Jeanine E Ransom; Abel N Kho; Pedro J Caraballo; High Seng Chai; Barbara P Yawn; Jennifer A Pacheco; Christopher G Chute
Journal: J Am Med Inform Assoc Date: 2012-01-16 Impact factor: 4.497

4. Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.

Authors: Abel N Kho; M Geoffrey Hayes; Laura Rasmussen-Torvik; Jennifer A Pacheco; William K Thompson; Loren L Armstrong; Joshua C Denny; Peggy L Peissig; Aaron W Miller; Wei-Qi Wei; Suzette J Bielinski; Christopher G Chute; Cynthia L Leibson; Gail P Jarvik; David R Crosslin; Christopher S Carlson; Katherine M Newton; Wendy A Wolf; Rex L Chisholm; William L Lowe
Journal: J Am Med Inform Assoc Date: 2011-11-19 Impact factor: 4.497

10. Comparison of information content of structured and narrative text data sources on the example of medication intensification.

Authors: Alexander Turchin; Maria Shubina; Eugene Breydo; Merri L Pendergrass; Jonathan S Einbinder
Journal: J Am Med Inform Assoc Date: 2009-03-04 Impact factor: 4.497

Identification of patients with diabetes from the text of physician notes in the electronic medical record.

1. Defining a comprehensive verotype using electronic health records for personalized medicine.

2. Lexical concept distribution reflects clinical practice.

3. Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus.

4. Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.

5. Automatically detecting problem list omissions of type 2 diabetes cases using electronic medical records.

6. Use of an Electronic Medical Record (EMR) to Identify Glycemic Intensification Strategies in Type 2 Diabetes.

Review 7. Towards automatic diabetes case detection and ABCS protocol compliance assessment.

8. Hypoglycemia and clinical outcomes in patients with diabetes hospitalized in the general ward.

9. Treatment intensification and blood glucose control among hospitalized diabetic patients.

10. Comparison of information content of structured and narrative text data sources on the example of medication intensification.