A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context

There is a controversial concept among many studies whether neonatal seizures are risk factors for neonatal death and/or neurodevelopment impairments (in case of newborn survivors). Multiple factors have been analyzed in literature, including perinatal factors, etiology factors, seizures characteris...

Full description

Bibliographic Details
Main Authors: Ionela Maniu, George Maniu, Cristina Dospinescu, Gabriela Visa
Format: Article
Language:English
Published: EduSoft publishing 2018-05-01
Series:Brain: Broad Research in Artificial Intelligence and Neuroscience
Subjects:
Online Access:https://www.edusoft.ro/brain/index.php/brain/article/view/810/939
_version_ 1797985810702663680
author Ionela Maniu
George Maniu
Cristina Dospinescu
Gabriela Visa
author_facet Ionela Maniu
George Maniu
Cristina Dospinescu
Gabriela Visa
author_sort Ionela Maniu
collection DOAJ
description There is a controversial concept among many studies whether neonatal seizures are risk factors for neonatal death and/or neurodevelopment impairments (in case of newborn survivors). Multiple factors have been analyzed in literature, including perinatal factors, etiology factors, seizures characteristics factors, investigations findings factors, therapy-related factors. This paper aims to review the characteristics and the application context of different computational models developed for identifying both the risk factor of morbidity (epilepsy, cerebral palsy, development disability or their combination) and the mortality outcome after neonatal seizures. Consequently, we determined the groups of main risk factors using factor analysis. The vast majority of identified models are logistic regression models, but also decision tree models. In the literature, there is a large variation in establishing the risk factors determining poor or favorable outcome after a neonatal seizure, with similarities and inconsistencies. These findings could be a consequence of different approaches regarding inclusion criteria, methodologies used to identify seizure, seizures definition or description, analysis using computational models.
first_indexed 2024-04-11T07:24:08Z
format Article
id doaj.art-3b5b27715f4449f7b40a1d4a715ae7a8
institution Directory Open Access Journal
issn 2067-3957
language English
last_indexed 2024-04-11T07:24:08Z
publishDate 2018-05-01
publisher EduSoft publishing
record_format Article
series Brain: Broad Research in Artificial Intelligence and Neuroscience
spelling doaj.art-3b5b27715f4449f7b40a1d4a715ae7a82022-12-22T04:37:07ZengEduSoft publishingBrain: Broad Research in Artificial Intelligence and Neuroscience2067-39572018-05-019295103A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure ContextIonela Maniu0George Maniu1Cristina Dospinescu2Gabriela Visa3Research and Telemedicine Center in Neurological Diseases in Children, Pediatric Clinical Hospital, Sibiu, Romania 3 George Barițiu, 550178, Tel. 0269 230 250 Department of Mathematics and Computer Science, “Lucian Blaga” University, Sibiu, Romania Bulevardul Victoriei 10, Sibiu 550024, Tel.: 0269 216 062 ionela.maniu@yahoo.roDepartment of Mathematics and Computer Science, “Lucian Blaga” University , Sibiu, Romania 10 Bulevardul Victoriei, 550024, Tel.: 0269 216 062 george.maniu@ulbsibiu.roResearch and Telemedicine Center in Neurological Diseases in Children, Pediatric Clinical Hospital, Sibiu, Romania 3 George Barițiu, 550178, Tel. 0269 230 250 cristinadospinescu@yahoo.comResearch and Telemedicine Center in Neurological Diseases in Children, Pediatric Clinical Hospital, Sibiu, Romania 3 George Barițiu, 550178, Tel. 0269 230 250 gabiap@yahoo.comThere is a controversial concept among many studies whether neonatal seizures are risk factors for neonatal death and/or neurodevelopment impairments (in case of newborn survivors). Multiple factors have been analyzed in literature, including perinatal factors, etiology factors, seizures characteristics factors, investigations findings factors, therapy-related factors. This paper aims to review the characteristics and the application context of different computational models developed for identifying both the risk factor of morbidity (epilepsy, cerebral palsy, development disability or their combination) and the mortality outcome after neonatal seizures. Consequently, we determined the groups of main risk factors using factor analysis. The vast majority of identified models are logistic regression models, but also decision tree models. In the literature, there is a large variation in establishing the risk factors determining poor or favorable outcome after a neonatal seizure, with similarities and inconsistencies. These findings could be a consequence of different approaches regarding inclusion criteria, methodologies used to identify seizure, seizures definition or description, analysis using computational models.https://www.edusoft.ro/brain/index.php/brain/article/view/810/939neonatal seizuresrisk factorsepilepsymortalitylogistic regressiondecision tree
spellingShingle Ionela Maniu
George Maniu
Cristina Dospinescu
Gabriela Visa
A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
Brain: Broad Research in Artificial Intelligence and Neuroscience
neonatal seizures
risk factors
epilepsy
mortality
logistic regression
decision tree
title A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
title_full A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
title_fullStr A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
title_full_unstemmed A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
title_short A Factor Analysis Model for Dimension Reduction of Outcome Factors in Neonatal Seizure Context
title_sort factor analysis model for dimension reduction of outcome factors in neonatal seizure context
topic neonatal seizures
risk factors
epilepsy
mortality
logistic regression
decision tree
url https://www.edusoft.ro/brain/index.php/brain/article/view/810/939
work_keys_str_mv AT ionelamaniu afactoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT georgemaniu afactoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT cristinadospinescu afactoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT gabrielavisa afactoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT ionelamaniu factoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT georgemaniu factoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT cristinadospinescu factoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext
AT gabrielavisa factoranalysismodelfordimensionreductionofoutcomefactorsinneonatalseizurecontext