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Full-Text Articles in Medicine and Health Sciences
Performance Of Machine Learning Classifiers In Classifying Stunting Among Under-Five Children In Zambia, Obvious Nchimunya Chilyabanyama, Roma Chilengi, Roma Chilengi, Michelo Simuyandi, Caroline C. Chisenga, Masuzyo Chirwa, Kalongo Hamusonde, Rakesh Kumar Saroj, Najeeha Talat Iqbal, Innocent Ngaruye
Performance Of Machine Learning Classifiers In Classifying Stunting Among Under-Five Children In Zambia, Obvious Nchimunya Chilyabanyama, Roma Chilengi, Roma Chilengi, Michelo Simuyandi, Caroline C. Chisenga, Masuzyo Chirwa, Kalongo Hamusonde, Rakesh Kumar Saroj, Najeeha Talat Iqbal, Innocent Ngaruye
Department of Paediatrics and Child Health
Stunting is a global public health issue. We sought to train and evaluate machine learning (ML) classification algorithms on the Zambia Demographic Health Survey (ZDHS) dataset to predict stunting among children under the age of five in Zambia. We applied Logistic regression (LR), Random Forest (RF), SV classification (SVC), XG Boost (XgB) and Naïve Bayes (NB) algorithms to predict the probability of stunting among children under five years of age, on the 2018 ZDHS dataset. We calibrated predicted probabilities and plotted the calibration curves to compare model performance. We computed accuracy, recall, precision and F1 for each machine learning algorithm. …
Bile Acid Profiling Reveals Distinct Signatures In Undernourished Children With Environmental Enteric Dysfunction, Xueheng Zhao, Kenneth D R. Setchell, Rong Huang, Indika Mallawaarachchi, Lubaina Ehsan, Edward Dobrzykowski Iii, Junfang Zhao, Sana Syed, Najeeha Talat Iqbal, Junaid Iqbal, Kamran Sadiq, Sheraz Ahmed, Syed Asad Ali
Bile Acid Profiling Reveals Distinct Signatures In Undernourished Children With Environmental Enteric Dysfunction, Xueheng Zhao, Kenneth D R. Setchell, Rong Huang, Indika Mallawaarachchi, Lubaina Ehsan, Edward Dobrzykowski Iii, Junfang Zhao, Sana Syed, Najeeha Talat Iqbal, Junaid Iqbal, Kamran Sadiq, Sheraz Ahmed, Syed Asad Ali
Department of Paediatrics and Child Health
Background: Intestinal inflammation and malabsorption in environmental enteric dysfunction (EED) are associated with early childhood growth faltering in impoverished settings worldwide.
Objectives: The goal of this study was to identify candidate biomarkers associated with inflammation, EED histology, and as predictors of later growth outcomes by focusing on the liver-gut axis by investigating the bile acid metabolome.
Methods: Undernourished rural Pakistani infants (n = 365) with weight-for-height Z score (WHZ) < -2 were followed up to the age of 24 mo and monitored for growth, infections, and EED. Well-nourished local children (n = 51) were controls, based on consistent WHZ > 0 and height-for-age Z score (HAZ) > -1 on 2 consecutive visits at 3 and 6 mo. Serum bile acid (sBA) profiles were measured by tandem MS at the ages of 3-6 …