{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T12:52:16Z","timestamp":1793105536543,"version":"4.5.0"},"reference-count":67,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T00:00:00Z","timestamp":1756252800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T00:00:00Z","timestamp":1756252800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Food Science &amp;amp; Nutrition"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Globally, children's feeding practices are a major public health concern. Evidence indicates that 90% of children receive less than the bare minimum of dietary content. In developing countries, only one out of five children under 24\u2009months old receives the minimum recommended diet. This study utilized a weighted dataset of 24,235 from the Demographic and Health Survey (DHS) conducted across eight Sub\u2010Saharan African countries. The data preprocessing and analysis were performed using STATA version 17 and Python 3.10. Feature scaling was carried out using MinMax scaling and Standard Scalar, while feature selection was performed through Recursive Feature Elimination (RFE). An 80:20 data split ratio was applied, and class imbalance was addressed using Tomek Links combined with Random Oversampling. Eight models were selected and trained with both balanced and unbalanced datasets. Model performance was evaluated using metrics such as ROC\u2010AUC, accuracy, and the confusion matrix. The overall current feeding practice rate is 9.1%, with a Random Forest model achieving an accuracy of 91% and an AUC of 96%. The predictors for appropriate complementary feeding include current breastfeeding status, maternal education, wealth status, number of household members, sex of the household head, sex of the child, place of delivery, maternal employment status, and distance to the nearest health facility. In conclusion, the Random Forest model was effectively used to identify key determinants, revealing that appropriate complementary feeding practices are low. To improve this, we recommend enhancing community\u2010based nutrition and reproductive health education, providing economic support for the poor, increasing access to healthcare facilities, and creating better opportunities to access smartphones and other social media platforms.<\/jats:p>","DOI":"10.1002\/fsn3.70837","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T04:15:36Z","timestamp":1756354536000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning\u2010Based Prediction of Determinants of Appropriate Complementary Feeding Practices Among Women With Children Aged 6\u201323\u2009Months in Sub\u2010Saharan Africa"],"prefix":"10.1002","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9403-6915","authenticated-orcid":false,"given":"Nebebe Demis","family":"Baykemagn","sequence":"first","affiliation":[{"name":"Department of Health Informatics, 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Health, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tseganesh","family":"Asefa","sequence":"additional","affiliation":[{"name":"Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fethiya Seid","family":"Hasen","sequence":"additional","affiliation":[{"name":"Department of Medical Biochemistry, School of Medicine, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Destaye Tirite","family":"Gelaw","sequence":"additional","affiliation":[{"name":"Department of Human Anatomy, School of Medicine, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yihun Tefera","family":"Ayenew","sequence":"additional","affiliation":[{"name":"Department of Human Anatomy, School of Medicine, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tirualem Zeleke","family":"Yehuala","sequence":"additional","affiliation":[{"name":"Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alemu Teshale","family":"Bicha","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, School of Medicine, College of Medicine and Health Sciences University of Gondar  Gondar Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Habtu Kifle","family":"Negash","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, Institute of Public Health, College 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