Prediction of Anoxic Tonic Seizures due to Asthma in Children Using Machine Learning Methods

Prediction of Anoxic Tonic Seizures due to Asthma in Children Using Machine Learning Methods

The objective of this study is to investigate the factors influencing asthma attacks in children under six years old using machine learning (ML) methods. There are many statistical methods for data classification that can be used to classify medical data. But using the data itself as well as a set o...

Full description

Saved in:
Bibliographic Details
Main Authors: Kiomars Motarjem, Meisam Moghimbeygi
Format: Article
Language:English
Published: University of Tehran 2024-11-01
Series:Journal of Sciences, Islamic Republic of Iran
Subjects:
the objective of this study is to investigate the factors influencing asthma attacks in children under six years old using machine learning (ml) methods. there are many statistical methods for data classification that can be used to classify medical
this study applied ml approaches to predict asthma and second anoxic tonic seizures due to asthma (atsa) based on variables such as first atsa
age
region of residence
parent smoking status
and parents' asthma history. the results revealed that children's age and place of residence significantly affected the duration of asthma attacks
with children living in certain areas of tehran experiencing shorter intervals between attacks due to high air pollution. machine learning techniques proved useful in predicting atsa based on age
gender
living region
parents' smoking status
and asthma history
with the adaboost method highlighting the importance of the child's age and living area in predicting atsa
Online Access:https://jsciences.ut.ac.ir/article_97972_bdd38edf5e342e57f422538a35a34eb6.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items