Application of Machine Learning Techniques for Enuresis Prediction in Children.

Journal: European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie

Published Date: Oct 1, 2021

Abstract

INTRODUCTION: As a subset of artificial intelligence, machine learning techniques (MLTs) may evaluate very large and raw datasets. In this study, the aim is to establish a model by MLT for the prediction of enuresis in children.

Authors

Baran Tokar

Department of Pediatric Surgery, School of Medicine, Eskisehir Osmangazi University, Eskisehir, Turkey.
Mukaddes Baskaya

Department of Pediatric Nursing, Eskisehir Osmangazi University, Eskisehir, Turkey.
Özer Çelik

Department of Mathematics and Computer, Faculty of Science and Letters, Eskişehir Osmangazi University, Eskişehir, Turkey.
Fatih Cemrek

Department of Statistics, Eskisehir Osmangazi University, Eskisehir, Turkey.
Ayfer Acikgoz

Department of Pediatric Nursing, Eskisehir Osmangazi University, Eskisehir, Turkey.

Keywords

Child Child, Preschool Datasets as Topic Enuresis Female Humans Machine Learning Male

External Resources

View on PubMed Access via DOI PubMed (32820495)

Application of Machine Learning Techniques for Enuresis Prediction in Children.

Abstract

Authors

Keywords

External Resources

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