林 昱君

Medicine & Life Sciences

1. Machine Learning 100%
2. Metabolic Syndrome 52%
3. Deep Learning 50%
4. Artificial Intelligence 48%
5. Preventive Medicine 45%
6. Internet 40%
7. Pandemics 37%
8. Biomedical Research 35%
9. Cohort Studies 29%
10. Publications 29%
11. Data Visualization 29%
12. Retrospective Studies 28%
13. PubMed 28%
14. Network Meta-Analysis 23%
15. Decision Trees 23%
16. Technology 22%
17. Delivery of Health Care 22%
18. Hyperuricemia 22%
19. Cluster Analysis 21%
20. End Stage Liver Disease 20%
21. Manuscripts 20%
22. Health 20%
23. Uric Acid 19%
24. Chronic Renal Insufficiency 19%
25. Research Ethics Committees 18%
26. Sepsis 14%
27. Hospital Emergency Service 14%
28. Epidemiology 13%
29. Databases 13%
30. Systematic Reviews 13%
31. Medicine 12%
32. Mortality 12%
33. ROC Curve 12%
34. Electronic Health Records 12%
35. Randomized Controlled Trials 11%
36. Supervised Machine Learning 11%
37. Education 11%
38. Unsupervised Machine Learning 10%
39. Xanthine Oxidase 10%
40. Phenotype 10%
41. Febuxostat 10%
42. Taiwan 10%
43. Forests 9%
44. Ethics 8%
45. FYX-051 8%
46. lesinurad 8%
47. Long-Term Memory 7%
48. Medical Informatics Applications 7%
49. Terminalia 6%
50. Data Analysis 6%