Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants

IEEE Transactions on Big Data(2020)

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摘要
Diagnosing infants who are small for gestational age (SGA) at early stages could help physicians to introduce interventions for SGA infants earlier. Machine learning (ML) is envisioned as a tool to identify SGA infants. However, ML has not been widely studied in this field. To develop effective SGA prediction models, we conducted four groups of experiments that considered basic ML methods, imbalan...
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关键词
Support vector machines,Pediatrics,Predictive models,Training,Radio frequency,Vegetation,Big data
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