Developing a multivariate prediction model of antibody features associated with protection of malaria-infected pregnant women from placental malaria

Keyphrases

• Pregnant Women 100%
• Malaria 100%
• Placental Malaria 100%
• Multivariate Prediction Model 100%
• VAR2CSA 42%
• Infected Erythrocytes 28%
• Plasmodium Falciparum 28%
• Multiple Pathways 28%
• Placental Infection 28%
• Naturally Acquired Antibodies 28%
• Prediction Model 14%
• Medical Research Council 14%
• Adverse Outcomes 14%
• National Health 14%
• Opsonophagocytosis 14%
• Chondroitin Sulfate 14%
• Mid-pregnancy 14%
• Health Research 14%
• Malaria Infection 14%
• Parasite Proteins 14%
• Network Analysis 14%
• Correlates of Protection 14%
• Machine Learning Techniques 14%
• Case-control Study Design 14%
• Elastic Net 14%
• Partial Least Squares Discriminant Analysis (PLS-DA) 14%
• Papua New Guinea 14%
• Regularized Logistic Regression 14%
• Systems Serology 14%
• Madang 14%
• Infected Women 14%
• Selective Features 14%

Medicine and Dentistry

• Placenta Malaria 100%
• Pregnant Woman 100%
• Prediction Model 100%
• Malaria 100%
• Infection 33%
• Erythrocyte 33%
• Logistic Regression Analysis 16%
• Adverse Outcome 16%
• Plasmodium falciparum 16%
• Parasite (Microbiology) 16%
• Medical Research 16%
• Phagocytosis 16%
• Partial Least Squares Regression 16%
• Chondroitin Sulfate 16%
• Diseases 16%
• Case-Control Study 16%
• Discriminant Analysis 16%

Immunology and Microbiology

• Malaria 100%
• Infectious Disease 25%
• Infection 25%
• Erythrocyte 25%
• Phagocytosis 12%
• Plasmodium falciparum 12%
• Serology 12%
• Parasite Protein 12%