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37 in total

Review 1. Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors: William S Bush; Matthew T Oetjens; Dana C Crawford
Journal: Nat Rev Genet Date: 2016-02-15 Impact factor: 53.242

2. Sleep debt: the impact of weekday sleep deprivation on cardiovascular health in older women.

Authors: Tomás Cabeza de Baca; Koharu Loulou Chayama; Susan Redline; Natalie Slopen; Fumika Matsushita; Aric A Prather; David R Williams; Julie E Buring; Alan M Zaslavsky; Michelle A Albert
Journal: Sleep Date: 2019-10-09 Impact factor: 5.849

3. A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.

Authors: C Weng; Y Li; P Ryan; Y Zhang; F Liu; J Gao; J T Bigger; G Hripcsak
Journal: Appl Clin Inform Date: 2014-05-07 Impact factor: 2.342

4. Association between clinical outcomes and metformin use in adults with sickle cell disease and diabetes mellitus.

Authors: Sherif M Badawy; Amanda B Payne
Journal: Blood Adv Date: 2019-11-12

5. Underdiagnosis of hypertension using electronic health records.

Authors: Dipanjan Banerjee; Sukyung Chung; Eric C Wong; Elsie J Wang; Randall S Stafford; Latha P Palaniappan
Journal: Am J Hypertens Date: 2011-10-27 Impact factor: 2.689

6. Validation of an algorithm for identifying type 1 diabetes in adults based on electronic health record data.

Authors: Emily B Schroeder; William T Donahoo; Glenn K Goodrich; Marsha A Raebel
Journal: Pharmacoepidemiol Drug Saf Date: 2018-01-02 Impact factor: 2.890

7. Modeling temporal relationships in large scale clinical associations.

Authors: David A Hanauer; Naren Ramakrishnan
Journal: J Am Med Inform Assoc Date: 2012-09-27 Impact factor: 4.497

8. National trends in treatment of type 2 diabetes mellitus, 1994-2007.

Authors: G Caleb Alexander; Niraj L Sehgal; Rachael M Moloney; Randall S Stafford
Journal: Arch Intern Med Date: 2008-10-27

9. Exploring clinical associations using '-omics' based enrichment analyses.

Authors: David A Hanauer; Daniel R Rhodes; Arul M Chinnaiyan
Journal: PLoS One Date: 2009-04-13 Impact factor: 3.240

10. Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study.

Authors: Victor W Zhong; Emily R Pfaff; Daniel P Beavers; Joan Thomas; Lindsay M Jaacks; Deborah A Bowlby; Timothy S Carey; Jean M Lawrence; Dana Dabelea; Richard F Hamman; Catherine Pihoker; Sharon H Saydah; Elizabeth J Mayer-Davis
Journal: Pediatr Diabetes Date: 2014-06-09 Impact factor: 4.866