Predicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique

dc.authoridACIKGOZ, AYFER/0000-0002-3803-9678
dc.authoridCelik, Ozer/0000-0002-4409-3101
dc.authoridMizrak Sahin, Berrak/0000-0001-7757-5003
dc.contributor.authorAcikgoz, Ayfer
dc.contributor.authorCakirli, Merve
dc.contributor.authorSahin, Berrak Mizrak
dc.contributor.authorCelik, Ozer
dc.date.accessioned2025-05-20T18:56:14Z
dc.date.issued2024
dc.departmentBilecik Şeyh Edebali Üniversitesi
dc.description.abstractBackgroundMachine learning techniques (MLT) build models to detect complex patterns and solve new problems using big data.AimThe present study aims to create a prediction interface for mothers breastfeeding exclusively for the first 6 months using MLT.MethodAll mothers who had babies aged 6-24 months between 15.09.2021 and 15.12.2021 and to whom the surveys could be delivered were included. 'Personal Information Form' created by the researchers was used as a data collection tool. Data from 514 mothers participating in the study were used for MLT. Data from 70% of mothers were used for educational purposes, and a prediction model was created. The data obtained from the remaining 30% of the mothers were used for testing.MethodAll mothers who had babies aged 6-24 months between 15.09.2021 and 15.12.2021 and to whom the surveys could be delivered were included. 'Personal Information Form' created by the researchers was used as a data collection tool. Data from 514 mothers participating in the study were used for MLT. Data from 70% of mothers were used for educational purposes, and a prediction model was created. The data obtained from the remaining 30% of the mothers were used for testing.ResultsThe best MLT algorithm for predicting exclusive breastfeeding for the first 6 months was determined to be the Random Forest Classifier. The top five variables affecting the possibility of mothers breastfeeding exclusively for the first 6 months were as follows: the mother not having any health problems during pregnancy, there were no people who negatively affected the mother's morale about breastfeeding, the amount of water the mother drinks in a day, thinking that her milk supply is insufficient, having no problems breastfeeding the baby.ConclusionsUsing created prediction model may allow early identification of mothers with a risk of not breastfeeding their babies exclusively for the first 6 months. In this way, mothers in the risk group can be closely monitored in the early period.
dc.description.sponsorshipEskisehir Osmangazi Universitesi
dc.description.sponsorshipEskisehir Osmangazi Universitesi
dc.identifier.doi10.1111/jep.14009
dc.identifier.endpage1007
dc.identifier.issn1356-1294
dc.identifier.issn1365-2753
dc.identifier.issue6
dc.identifier.pmid38741561
dc.identifier.scopus2-s2.0-85192978544
dc.identifier.scopusqualityQ1
dc.identifier.startpage1000
dc.identifier.urihttps://doi.org/10.1111/jep.14009
dc.identifier.urihttps://hdl.handle.net/11552/7636
dc.identifier.volume30
dc.identifier.wosWOS:001220806700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWoS
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynakWoS - Science Citation Index Expanded
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofJournal of Evaluation in Clinical Practice
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250518
dc.subjectbreastfeeding
dc.subjectmachine learning technique
dc.subjectmothers
dc.subjectprediction model
dc.titlePredicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique
dc.typeArticle

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