IDRIS NA, YUSOF NA, ISMAIL MZH, JUHARI SN, HASSAN NM, DAUD N, YUNUS NI und PAUZI MF, 2026. Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values. Diabetes research and clinical practice. 1 Februar 2026. Vol. 232, , p. 113098-113098. DOI 10.1016/j.diabres.2026.113098.
Elsevier - Harvard (with titles)Idris NA, Yusof NA, Ismail MZH, Juhari SN, Hassan NM, Daud N, Yunus NI, Pauzi MF, 2026. Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values. Diabetes research and clinical practice 232, 113098-113098. https://doi.org/10.1016/j.diabres.2026.113098
American Psychological Association 7th editionIdris NA, Yusof NA, Ismail MZH, Juhari SN, Hassan NM, Daud N, Yunus NI, & Pauzi MF. (2026). Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values. Diabetes Research and Clinical Practice, 232, 113098-113098. https://doi.org/10.1016/j.diabres.2026.113098
Springer - Basic (author-date)Idris NA, Yusof NA, Ismail MZH, Juhari SN, Hassan NM, Daud N, Yunus NI, Pauzi MF (2026) Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values.. Diabetes research and clinical practice 232:113098-113098. https://doi.org/10.1016/j.diabres.2026.113098
Juristische Zitierweise (Stüber) (Deutsch)Idris NA/ Yusof NA/ Ismail MZH/ Juhari SN/ Hassan NM/ Daud N/ Yunus NI/ Pauzi MF, Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values., Diabetes research and clinical practice 2026, 113098-113098.