Application of Machine Learning Techniques for Enuresis Prediction in Children.

Baran TokarMukaddes BaskayaOzer CelikFatih CemrekAyfer Acikgoz

Published in: European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie (2020)

MLT might provide a faster and easier evaluation process for studies on enuresis with a large dataset. The model in this study may suggest that selected variables with high feature values could be preferred with priority in any screening studies for enuresis. MLT may prevent clinical errors due to human cognitive biases and may help the physicians to be proactive in diagnosis and treatment of enuresis.

Keyphrases

machine learning
endothelial cells
primary care
case control
young adults
deep learning
artificial intelligence
big data
patient safety
emergency department
induced pluripotent stem cells
quality improvement