Tuberculosis diagnosis support analysis for precarious health information systems

Medicine & Life Sciences

• Health Information Systems 100%
• Tuberculosis 62%
• Pulmonary Tuberculosis 52%
• Learning 36%
• Artificial Intelligence 33%
• Colombia 29%
• Medical Staff 28%
• Bacterial Infections 23%
• Developing Countries 22%
• Acquired Immunodeficiency Syndrome 21%
• Decision Making 20%
• Emergencies 19%
• Sensitivity and Specificity 18%
• Occupational Groups 18%
• Physicians 15%
• Costs and Cost Analysis 15%
• Databases 15%

Engineering & Materials Science

• Information systems 61%
• Health 55%
• Neural networks 45%
• Unsupervised learning 42%
• Medical problems 41%
• Supervised learning 39%
• Developing countries 39%
• Artificial intelligence 32%
• Personnel 28%
• Decision making 27%
• Costs 14%