大數據科技及管理研究所

Medicine & Life Sciences

1. Taiwan 100%
2. Cohort Studies 35%
3. Population 30%
4. Machine Learning 29%
5. Databases 22%
6. Electronic Health Records 20%
7. National Health Programs 18%
8. Confidence Intervals 15%
9. Coronavirus 15%
10. Delivery of Health Care 14%
11. Mortality 14%
12. Systematic Reviews 13%
13. Vaccination 13%
14. Artificial Intelligence 12%
15. Human Influenza 12%
16. Deep Learning 12%
17. Meta-Analysis 12%
18. Lung Neoplasms 11%
19. Neoplasms 11%
20. Health 11%
21. Chronic Renal Insufficiency 11%
22. Pandemics 11%
23. Autoimmune Diseases 11%
24. Incidence 11%
25. Comorbidity 9%
26. Datasets 9%
27. Safety 9%
28. Gout 9%
29. Breast Neoplasms 9%
30. Sjogren's Syndrome 9%
31. Stroke 9%
32. Prescriptions 9%
33. Type 2 Diabetes Mellitus 9%
34. Nurses 8%
35. Odds Ratio 8%
36. Physicians 8%
37. Network Meta-Analysis 8%
38. Therapeutics 8%
39. PubMed 8%
40. Survival 8%
41. Medical Order Entry Systems 8%
42. Rheumatoid Arthritis 8%
43. Learning 7%
44. Social Media 7%
45. Retrospective Studies 7%
46. Chronic Obstructive Pulmonary Disease 7%
47. Drug-Eluting Stents 7%
48. Randomized Controlled Trials 7%
49. Data Visualization 7%
50. Atrial Fibrillation 7%
51. Hospital Emergency Service 7%
52. Health Care Costs 7%
53. Technology 6%
54. Personal Health Records 6%
55. Intention 6%
56. Rheumatic Diseases 6%
57. Cluster Analysis 6%
58. Education 6%
59. Psychometrics 6%
60. Internet 6%
61. Myocardial Infarction 6%
62. Cell Phone 6%
63. Systemic Lupus Erythematosus 5%
64. Dry Eye Syndromes 5%
65. Accreditation 5%
66. Mass Casualty Incidents 5%
67. Emotions 5%
68. Data Mining 5%
69. Logistic Models 5%
70. Publications 5%
71. Dementia 5%
72. Costs and Cost Analysis 5%
73. Parkinson Disease 5%
74. Non-Small Cell Lung Carcinoma 5%
75. Percutaneous Coronary Intervention 5%
76. Metabolic Syndrome 5%
77. Eswatini 5%
78. Proportional Hazards Models 5%
79. Elderly 5%
80. Chinese Traditional Medicine 5%