The authors report 99% LSTM accuracy for predicting neonatal death in São Paulo, but the result is undermined by preprocessing before the data split, class imbalance, and missing code and data.
IDVP (intra -die variation probe) for system-on-chip (SoC) infant mortality screen,
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A deep learning and machine learning approach to predict neonatal death in the context of S\~ao Paulo
The authors report 99% LSTM accuracy for predicting neonatal death in São Paulo, but the result is undermined by preprocessing before the data split, class imbalance, and missing code and data.