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Although child malnutrition is improving over the world in the last couple of decades, still now it is concerning issue among the developing countries including Bangladesh. In general, malnutrition is a dichotomous response variable fitted…

Applications · Statistics 2024-06-07 Md Mehedi Hasan Bhuiyan

Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are labor-intensive and frequently unavailable in remote areas. This study provides the first…

Machine Learning · Computer Science 2026-02-12 Deepak Bastola , Yang Li

Child dehydration is a significant health concern, especially among children under 5 years of age who are more susceptible to diarrhea and vomiting. In Afghanistan, severe diarrhea contributes to child mortality due to dehydration. However,…

Machine Learning · Computer Science 2023-05-23 Ziaullah Momand , Debajyoti Pal , Pornchai Mongkolnam , Jonathan H. Chan

Childhood anemia remains a major public health challenge in Nepal and is associated with impaired growth, cognition, and increased morbidity. Using World Health Organization hemoglobin thresholds, we defined anemia status for children aged…

Machine Learning · Computer Science 2026-02-03 Deepak Bastola , Pitambar Acharya , Dipak Dulal , Rabina Dhakal , Yang Li

The predictive machine learning models for child mortality tend to be inaccurate when applied to future populations, since they suffer from look-ahead bias due to the randomization used in cross-validation. The Demographic and Health…

Machine Learning · Computer Science 2026-02-05 Md Muhtasim Munif Fahim , Md Rezaul Karim

Analysis of child mortality is crucial as it pertains to the policy and programs of a country. The early assessment of patterns and trends in causes of child mortality help decision-makers assess needs, prioritize interventions, and monitor…

Computers and Society · Computer Science 2020-11-20 Asadullah Hill Galib , Nadia Nahar , B M Mainul Hossain

Link function is a key tool in the binomial regression model defined as non-linear model under GLM approach. It transforms the nonlinear regression to linear model with converting the interval (-\infty,\infty) to the probability [0,1]. The…

Methodology · Statistics 2024-03-28 Md Mehedi Hasan Bhuiyan

Undernutrition, resulting in restricted growth, and quantified here using height-for-age z-scores, is an important contributor to childhood morbidity and mortality. Since all levels of mild, moderate and severe undernutrition are of…

Applications · Statistics 2015-12-08 Mariel M. Finucane , Christopher J. Paciorek , Gretchen A. Stevens , Majid Ezzati

The persistent battle to decrease childhood mortality serves as a commonly employed benchmark for gauging advancements in the field of medicine. Globally, the under-5 mortality rate stands at approximately 5 million, with a significant…

Machine Learning · Computer Science 2023-11-21 Binod Regmi , Chiranjibi Shah

Background: Childhood and adolescent overweight and obesity remain major public health concerns in the United States and are shaped by behavioral, household, and community factors. Their joint predictive structure at the population level…

Artificial Intelligence · Computer Science 2026-02-25 Joyanta Jyoti Mondal

Malnutrition poses a significant threat to global health, resulting from an inadequate intake of essential nutrients that adversely impacts vital organs and overall bodily functioning. Periodic examinations and mass screenings,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Ashish Marisetty , Prathistith Raj M , Praneeth Nemani , Venkanna Udutalapally , Debanjan Das

The dramatic increase in consumption of ultra-processed food has been associated with numerous adverse health effects. Given the public health consequences linked to ultra-processed food consumption, it is highly relevant to build…

Biomolecules · Quantitative Biology 2025-06-24 Nalin Arora , Sumit Bhagat , Riya Dhama , Ganesh Bagler

Malnutrition among pregnant women is a major public health challenge in Ethiopia, increasing the risk of adverse maternal and neonatal outcomes. Traditional statistical approaches often fail to capture the complex and multidimensional…

Machine Learning · Computer Science 2025-09-19 Amsalu Tessema , Tizazu Bayih , Kassahun Azezew , Ayenew Kassie

The combination of clinical judgement and predictive risk models crucially assist social workers to segregate children at risk of maltreatment and decide when authorities should intervene. Predictive risk modelling to address this matter…

Machine Learning · Statistics 2023-08-09 Sahar Barmomanesh , Victor Miranda-Soberanis

Childhood obesity remains a major public health challenge in the United States, strongly influenced by a combination of individual-level, household-level, and environmental-level risk factors. Traditional epidemiological studies typically…

Machine Learning · Computer Science 2025-12-30 Eswarasanthosh Kumar Mamillapalli , Nishtha Sharma

Hunger crises are critical global issues affecting millions, particularly in low-income and developing countries. This research investigates how machine learning can be utilized to predict and inform decisions regarding famine and hunger…

Machine Learning · Computer Science 2024-09-17 Salloni Kapoor , Simeon Sayer

The development of an intelligent agricultural decision-supporting system for crop selection and disease forecasting in Bangladesh is the main objective of this work. The economy of the nation depends heavily on agriculture. However,…

Machine Learning · Computer Science 2024-03-29 Forkan Uddin Ahmed , Annesha Das , Md Zubair

In this article, we use multilevel multinomial logistic regression model to identify the risk factors of anemia in children of northeastern States of India. The data consisted of 10,136 children of age group 6-59 months. We considered the…

Applications · Statistics 2015-04-14 Sanku Dey , Enayetur Raheem

Malnutrition is a global health crisis and is the leading cause of death among children under five. Detecting malnutrition requires anthropometric measurements of weight, height, and middle-upper arm circumference. However, measuring them…

Heart disease is a leading cause of premature death worldwide, particularly among middle-aged and older adults, with men experiencing a higher prevalence. According to the World Health Organization (WHO), non-communicable diseases,…

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