醫學資訊研究所

Medicine & Life Sciences

1. Taiwan 100%
2. Neoplasms 43%
3. Electronic Health Records 35%
4. Population 32%
5. Artificial Intelligence 30%
6. Deep Learning 28%
7. Machine Learning 27%
8. Genes 27%
9. Prostatic Neoplasms 26%
10. Meta-Analysis 24%
11. Breast Neoplasms 23%
12. Cohort Studies 23%
13. Databases 23%
14. Proteins 22%
15. Stroke 22%
16. Lung Neoplasms 22%
17. Catenins 21%
18. National Health Programs 21%
19. Computer Neural Networks 20%
20. Therapeutics 20%
21. Hepatocellular Carcinoma 19%
22. Datasets 19%
23. Neoplastic Stem Cells 19%
24. Confidence Intervals 19%
25. Delivery of Health Care 19%
26. Electric Stimulation 18%
27. Carcinogenesis 18%
28. Colorectal Neoplasms 18%
29. MicroRNAs 17%
30. Neoplasm Metastasis 17%
31. Survival 17%
32. Biomarkers 16%
33. Systematic Reviews 16%
34. Health 16%
35. Physicians 15%
36. ovatodiolide 15%
37. Heart Rate 15%
38. Logistic Models 14%
39. Prescriptions 14%
40. Microbiota 14%
41. Odds Ratio 14%
42. Pharmaceutical Preparations 13%
43. Observational Studies 13%
44. Apoptosis 13%
45. Internet 13%
46. Glioblastoma 13%
47. Down-Regulation 13%
48. Mortality 13%
49. Genome 13%
50. Hydroxymethylglutaryl-CoA Reductase Inhibitors 12%
51. Medical Order Entry Systems 12%
52. Gene Expression 12%
53. Clinical Decision Support Systems 12%
54. Antrodia 12%
55. Tumor Microenvironment 12%
56. Spinal Cord Injuries 11%
57. ROC Curve 11%
58. Technology 11%
59. Indonesia 11%
60. Exercise 10%
61. Epithelial-Mesenchymal Transition 10%
62. Medical Informatics 10%
63. Glioma 10%
64. Elderly 10%
65. Area Under Curve 10%
66. Growth 10%
67. Urinary Bladder 10%
68. Incidence 10%
69. Sensitivity and Specificity 10%
70. Squamous Cell Carcinoma 10%
71. Parkinson Disease 10%
72. Coronavirus 10%
73. Up-Regulation 9%
74. Stem Cells 9%
75. Computational Biology 9%
76. Adenocarcinoma of Lung 9%
77. Pandemics 9%
78. Personal Health Records 9%
79. Disease Outbreaks 9%
80. Transcriptome 9%
81. Control Groups 9%
82. Medication Errors 9%
83. Colonic Neoplasms 9%
84. Data Mining 9%
85. Ovarian Neoplasms 8%
86. Liver Neoplasms 8%
87. Breast 8%
88. Rehabilitation 8%
89. Comorbidity 8%
90. Phenotype 8%
91. Non-Small Cell Lung Carcinoma 8%
92. Androgens 8%
93. Brain 8%
94. Telemedicine 8%
95. Chemoradiotherapy 8%
96. PubMed 8%
97. Mesenchymal Stem Cells 8%
98. Social Media 8%
99. Equipment and Supplies 8%

Engineering & Materials Science

1. Health 36%
2. Proteins 25%
3. Electronic medical equipment 24%
4. Genes 22%
5. Tumors 16%
6. Health insurance 16%
7. Gene expression 14%
8. Education 14%
9. Neural networks 14%
10. Medicine 13%
11. Cells 12%
12. Brain 11%
13. Information systems 11%
14. Machine learning 11%
15. Medical problems 10%
16. RNA 9%
17. Genomics 9%
18. Stem cells 9%
19. Health care 8%
20. Biomarkers 8%
21. Tissue 8%
22. Blood pressure 8%
23. Viruses 8%
24. Decision support systems 7%
25. Logistic regression 7%
26. Drug interactions 7%
27. Computer aided diagnosis 7%
28. Muscle 6%
29. Imaging techniques 5%
30. Microarrays 5%
31. Magnetic resonance 5%
32. Learning systems 5%
33. Acids 5%
34. Liver 5%
35. Interoperability 5%
36. Websites 5%
37. Magnetic resonance imaging 5%
38. Patient rehabilitation 5%
39. Monitoring 5%
40. Drug products 5%