Predicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique
| dc.authorid | ACIKGOZ, AYFER/0000-0002-3803-9678 | |
| dc.authorid | Celik, Ozer/0000-0002-4409-3101 | |
| dc.authorid | Mizrak Sahin, Berrak/0000-0001-7757-5003 | |
| dc.contributor.author | Acikgoz, Ayfer | |
| dc.contributor.author | Cakirli, Merve | |
| dc.contributor.author | Sahin, Berrak Mizrak | |
| dc.contributor.author | Celik, Ozer | |
| dc.date.accessioned | 2025-05-20T18:56:14Z | |
| dc.date.issued | 2024 | |
| dc.department | Bilecik Şeyh Edebali Üniversitesi | |
| dc.description.abstract | BackgroundMachine 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.sponsorship | Eskisehir Osmangazi Universitesi | |
| dc.description.sponsorship | Eskisehir Osmangazi Universitesi | |
| dc.identifier.doi | 10.1111/jep.14009 | |
| dc.identifier.endpage | 1007 | |
| dc.identifier.issn | 1356-1294 | |
| dc.identifier.issn | 1365-2753 | |
| dc.identifier.issue | 6 | |
| dc.identifier.pmid | 38741561 | |
| dc.identifier.scopus | 2-s2.0-85192978544 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 1000 | |
| dc.identifier.uri | https://doi.org/10.1111/jep.14009 | |
| dc.identifier.uri | https://hdl.handle.net/11552/7636 | |
| dc.identifier.volume | 30 | |
| dc.identifier.wos | WOS:001220806700001 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | WoS | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.indekslendigikaynak | WoS - Science Citation Index Expanded | |
| dc.language.iso | en | |
| dc.publisher | Wiley | |
| dc.relation.ispartof | Journal of Evaluation in Clinical Practice | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WOS_20250518 | |
| dc.subject | breastfeeding | |
| dc.subject | machine learning technique | |
| dc.subject | mothers | |
| dc.subject | prediction model | |
| dc.title | Predicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique | |
| dc.type | Article |
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