AIMC Topic: Bangladesh

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Performance Evaluation of Machine Learning Algorithm for Classification of Unintended Pregnancy among Married Women in Bangladesh.

Journal of healthcare engineering May 28, 2022
Intended pregnancy is one of the significant indicators of women's well-being. Globally, 74 million women become pregnant every year without planning. Unintended pregnancies account for 28% of all pregnancies among married women in Bangladesh. This s...
Female Male Support Vector Machine Machine Learning Algorithms Pregnancy Bayes Theorem Bangladesh Pregnancy, Unplanned Humans
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Predicting risks of low birth weight in Bangladesh with machine learning.

PloS one May 26, 2022
BACKGROUND AND OBJECTIVE: Low birth weight is one of the primary causes of child mortality and several diseases of future life in developing countries, especially in Southern Asia. The main objective of this study is to determine the risk factors of ...
Humans Machine Learning Infant, Newborn Infant, Low Birth Weight Logistic Models Risk Factors Birth Weight Infant Bangladesh Child
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Nursing Care Systematization with Case-Based Reasoning and Artificial Intelligence.

Journal of healthcare engineering Mar 9, 2022
Of the most popular applications of artificial intelligence (AI), those used in the health sector are the ones that represent the largest proportion, in terms of use and expectation. An investigative systematization model is proposed in the scientifi...
Humans Artificial Intelligence Child Bangladesh
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The impact of unconditional cash and food assistance on contraceptive expenditure of rural households in Coastal Bangladesh: Evidence from fuzzy RDD.

PloS one Jan 21, 2022
This study investigates the impact of unconditional cash and food (UCF) assistance on the monthly contraceptive expenditure of rural households in coastal Bangladesh using a fuzzy regression discontinuity design (RDD). Eligibility for UCF assistance ...
Humans Male Middle Aged Adolescent Female Rural Population Contraception Young Adult Fuzzy Logic Medical Assistance Adult Bangladesh Food Assistance
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Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh.

Sensors (Basel, Switzerland) Dec 25, 2021
The rapid expansion of a country's economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it transports documents or record...
Computers Deep Learning Automobiles Automobile Driving Bangladesh Humans
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Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods.

Computational and mathematical methods in medicine Dec 3, 2021
Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing prevalence, high risk of progression to end-stage renal disease, and poor morbidity and mortality prognosis. It is rapidly becoming a global health cris...
Humans Decision Trees Computational Biology Machine Learning Early Diagnosis Logistic Models Databases, Factual Bangladesh Renal Insufficiency, Chronic
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Applying State-of-the-Art Deep-Learning Methods to Classify Urban Cities of the Developing World.

Sensors (Basel, Switzerland) Nov 10, 2021
This paper shows the efficacy of a novel urban categorization framework based on deep learning, and a novel categorization method customized for cities in the global south. The proposed categorization method assesses urban space broadly on two dimens...
Kenya Urbanization Deep Learning Cities Bangladesh
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Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.

PloS one Sep 24, 2021
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...
Rural Health Services Male Middle Aged Hospitals, Public Surveys and Questionnaires Patient Satisfaction Female Bangladesh Models, Statistical Latent Class Analysis Young Adult Patient Acceptance of Health Care Humans Personal Satisfaction Adult Adolescent Telemedicine Machine Learning Rural Population Forecasting
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Sociodemographic risk factors of under-five stunting in Bangladesh: Assessing the role of interactions using a machine learning method.

PloS one Aug 31, 2021
This paper aims to demonstrate the importance of studying interactions among various sociodemographic risk factors of childhood stunting in Bangladesh with the help of an interpretable machine learning method. Data used for the analyses are extracted...
Machine Learning Female Infant, Newborn Odds Ratio Reproducibility of Results Logistic Models Humans Infant Risk Factors Sociodemographic Factors Growth Disorders Male Bangladesh Child, Preschool
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Application of stacking hybrid machine learning algorithms in delineating multi-type flooding in Bangladesh.

Journal of environmental management Jun 18, 2021
Floods are among the most devastating natural hazards in Bangladesh. The country experiences multi-type floods (i.e., fluvial, flash, pluvial, and surge floods) every year. However, areas prone to multi-type floods have not yet been assessed on a nat...
Machine Learning Algorithms Probability Bangladesh Floods
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