Medicine & Life Sciences

1. Electronic Health Records 100%
2. Atherosclerosis 88%
3. Pharmacogenetics 62%
4. Genome-Wide Association Study 39%
5. Hepatocyte Growth Factor 34%
6. Phenotype 32%
7. Cytochrome P-450 CYP2D6 30%
8. African Americans 29%
9. Single Nucleotide Polymorphism 27%
10. Clinical Decision Support Systems 26%
11. Genes 26%
12. Coronary Disease 24%
13. Genomics 24%
14. Cardiovascular Diseases 22%
15. Type 2 Diabetes Mellitus 22%
16. Intercellular Adhesion Molecule-1 21%
17. Pharmacogenomic Testing 21%
18. Precision Medicine 19%
19. Genotype 17%
20. Genome 17%
21. Coronary Vessels 17%
22. Alleles 16%
23. Heart Failure 16%
24. Population 16%
25. Genetic Variation 15%
26. Cytochrome P-450 CYP2C19 13%
27. Atrial Fibrillation 13%
28. Hispanic Americans 13%
29. Hospitalization 12%
30. Ankle Brachial Index 12%
31. Peripheral Arterial Disease 11%
32. P-Selectin 11%
33. National Heart, Lung, and Blood Institute (U.S.) 11%
34. Pharmacogenomic Variants 11%
35. Meta-Analysis 10%
36. European Continental Ancestry Group 10%
37. Opioid Analgesics 10%
38. Glucose 9%
39. Body Mass Index 9%
40. Natural Language Processing 9%
41. Blood Group Antigens 9%
42. High-Throughput Nucleotide Sequencing 9%
43. Vascular Cell Adhesion Molecule-1 9%
44. Genetic Association Studies 9%
45. DNA Sequence Analysis 8%
46. Selectins 8%
47. Epidemiology 8%
48. Cohort Studies 8%
49. Blood Pressure 8%