Predicting the need of Neonatal Resuscitation using Data Mining
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The goal behind this paper is to predict the need for neonatal resuscitation given some health conditions of both the newborn and the mother.
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Predicting the need of neonatal resuscitation using data mining. Procedia Comput Sci. 2017;113:571–576. [Google Scholar]; Williamson JR, Bliss DW, Browne DW ...
Findings: Need for SNR is associated with black race, maternal obesity, infection during pregnancy, severe preeclampsia, magnesium administration, placenta ...
The proposed approach is combining methods using both video and time series data recorded during resuscitation, where the predictions are based on the available ...
Nov 5, 2024 · This paper is primarily aimed to introduce methods for analyzing newborn resuscitation activity timelines, through visualization, aggregation, ...
In view of the importance of anticipating the occurrence of critical situations in medicine, we propose the use of a fuzzy expert system to predict the need ...
The aim of this study was to cre- ate a prediction system for identifying the need for at-birth CPR in neonates based on Machine. Learning (ML) algorithms.
Oct 6, 2021 · The utilized variables included the age of mother, the weight of neonates, the gender of neonates, maternal risk factors, congenital anomalies, ...
Objective: This study aimed to develop a model to predict neonatal RDS and affecting factors using data mining. Materials and Methods: The original dataset in ...
Oct 4, 2024 · Neonatal clinicians reported NRVR to be an effective and safe method for learning and refining skills required during neonatal resuscitation.