The obtained results suggest that the proposed approach may serve as a promising basis for subsequent adaptation to national clinical data of the Republic of Uzbekistan, external prospective validation and integration into digital clinical decision support systems.
Preeclampsia is a major cause of maternal and perinatal morbidity and mortality worldwide, and early identification of high-risk pregnancies remains a clinical challenge, particularly in settings where advanced biomarkers and imaging techniques are not readily available. This study aimed to develop and evaluate a machi...
U. Dogan, Şeyma Yaşar, E. Comert et al.· Medical Science· 0 citations
In this work, we demonstrate the unprecedented value of NIH's "All of Us Research Program" (AoURP) dataset in studying maternal morbidity and building predictive machine learning (ML) models across heterogeneous populations in the United States. We developed robust and data-driven preprocessing pipelines to curate a lo...
H. Zhuang, A. Zakama, K. Heller et al.· medRxiv· 0 citations
Stunting remains a significant public health challenge, where interventions are often delayed as they occur postnatally. This research aims to shift the detection focus to the prenatal phase by comparing the performance of four Ensemble Learning algorithms: Random Forest, XGBoost, CatBoost, and Light Gradient Boosting...
Nur Inaya Bahar, Eka Qadri Nuranti, I. Areni· JOURNAL OF APPLIED INFORMATI...· 0 citations
BACKGROUND
Early recognition of severe imported malaria is essential because treatment decisions frequently need to be made before reliable parasite density measurements become available. Objective tools to support early risk stratification during this interval are lacking. This study developed and externally validated...
P. V. van Genderen, Michele Fumarola, R. Hassing et al.· Journal of Travel Medicine· 0 citations
Abstract Background Despite advances in perinatal care and improved survival of preterm infants, bronchopulmonary dysplasia (BPD) remains a major neonatal morbidity with long-term consequences. Accurate early risk prediction is therefore clinically important. Conventional models may be limited in capturing the complex...
Ye-Quan Xu, Ying Zhang, Dan-Ni Ye et al.· Annals medicus· 0 citations
Ectopic pregnancy (EP) remains a major cause of first-trimester maternal morbidity and mortality, while early diagnosis is challenging because clinical symptoms frequently overlap with those of other gynaecological conditions. This study proposes an interpretable machine-learning framework for early EP risk stratificat...
Dhafer G. Honi, A. A. Mohammed, László Szathmáry· Proceedings of the 13th Inte...· 0 citations
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