HIGHLIGHTS
- who: Stephanie Baker from the (UNIVERSITY) have published the paper: Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review, in the Journal: (JOURNAL) of 31/05/2022
- what: The included studies focused on two key topics: predicting and understanding neurodevelopmental outcomes. SVMs seek a plane of best fit between the input data and target outcome-in this case, the model aimed to classify functional connectome features as belonging to infants born either full-term or preterm. Comparability remains an issue when contrasting the studies that aimed to predict a score . . .
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