Publications by authors named "N Salma"

Background: Foodborne illness is a significant public health concern, particularly in developing countries like Bangladesh. Young adults, aged 18-26 (including undergraduates and recent graduates), are especially vulnerable to the onset of unhealthy eating habits and nutritional imbalances as they begin living independently, often away from their families. This research aims to identify the risk factors associated with the knowledge, attitudes, and practices related to safe food handling among residential university students.

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Article Synopsis
  • * The study used data from the BDHS 2017-2018 and various machine learning algorithms (including Logistic Regression, Decision Tree, and Random Forest) alongside the Boruta feature selection method to identify the key predictors of LBW.
  • * Key features identified include maternal age, education level, and birth order; results showed that Random Forest emerged as the top predictive model with an accuracy of approximately 81.18%, while traditional Logistic Regression had an accuracy of 85.15%.
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Introduction: Congenital rubella syndrome (CRS) is associated with severe birth defects, that lead to disability in later life. Hence, early detection and intervention are needed to prevent permanent disability and mortality in children with CRS. We evaluated the time to diagnosis or correction intervention related to survival rate using survival analysis.

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Aims: Over the past two decades, significant progress has been made in the development of quality indicators (QIs) within the field of radiotherapy (RT). However, most of the literature has predominantly focused on process and outcome-related QIs, with limited attention given to structural QIs. This review aims to address this gap by providing insights into structural QIs in RT and examining the complexities and considerations involved in establishing universal standards for these indicators across RT facilities globally.

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Aim: Facebook has become a part of daily life for its users and therefore become a very significant factor of mental health. As the number of Facebook users increases exponentially, the problems related to immense use have become more evident and more frequent. Therefore, the study aimed to explore the impact of Facebook addiction on depression among its users.

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