Andrew Michelson

Medicine & Life Sciences

1. SARS Virus 100%
2. Coronavirus 85%
3. Patients' Rooms 84%
4. Sepsis 84%
5. Machine Learning 72%
6. Mortality 69%
7. Electronic Health Records 66%
8. Early Warning Score 53%
9. Anti-Bacterial Agents 51%
10. Deep Learning 46%
11. Drug Repositioning 46%
12. Sex Factors 44%
13. Type II DNA Topoisomerase 44%
14. Severe Acute Respiratory Syndrome 43%
15. Heuristics 43%
16. Bronchiolitis 41%
17. Infections 40%
18. Delivery of Health Care 39%
19. Transplant Recipients 39%
20. Carbapenems 39%
21. Confidence Intervals 37%
22. Obstructive Sleep Apnea 34%
23. Artificial Respiration 33%
24. Hematopoietic Stem Cells 33%
25. Drug Interactions 33%
26. Treatment Failure 32%
27. Acute Myeloid Leukemia 32%
28. Hematopoietic Stem Cell Transplantation 31%
29. Intensive Care Units 31%
30. Human Influenza 31%
31. Opioid Analgesics 30%
32. Logistic Models 28%
33. Estrogens 27%
34. Data Anonymization 27%
35. Pneumonia 27%
36. Population 24%
37. Hormones 23%
38. Phosphorylation 23%
39. ROC Curve 23%
40. Big Data 23%
41. Terminology 22%
42. National Center for Advancing Translational Sciences (U.S.) 21%
43. Respiratory System 21%
44. Casein Kinase I 21%
45. Transplants 21%
46. Lung 20%
47. Confidentiality 20%
48. Privacy 20%
49. Oxygen 20%
50. Therapeutics 20%