Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia

Medicine & Life Sciences

• Artificial Intelligence 100%
• Confidence Intervals 30%
• Costs and Cost Analysis 15%
• Data Mining 30%
• Datasets 59%
• Demography 16%
• Eclampsia 32%
• Health Insurance 78%
• Indonesia 88%
• Natural Language Processing 37%
• Organized Financing 29%
• Pre-Eclampsia 75%
• Pregnancy 15%
• Pregnant Women 40%
• ROC Curve 42%
• Sensitivity and Specificity 18%
• Taiwan 24%
• Technology 16%

Chemical Compounds

• Mining 85%
• Time 27%