eDakterBari: A human-centered solution enabling online medical consultation and information dissemination for resource-constrained communities in Bangladesh

Eliza, Ishrat Jahan; Urmi, Mobasshira Akter; Anan, Md Tousif Tanjim; Munim, Md Tanveer Hossain; Galib, Fattah-Zul-Ikram; Islam, A.B.M. Alim Al

doi:10.1016/j.heliyon.2023.e23100

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Using smartphone cameras, this application will make advantage of the established YOLO and KNN approaches to deliver an intuitive user interface for real-rime anaemia detection. In resource-constrained areas, this kind of application might enable people to conduct early evaluations, enabling early diagnosis and immediate intervention [16].…”

Section: Introductionmentioning

confidence: 99%

Automated Anaemia Detection From Conjunctiva Images : A Machine Learning Approach for Android Application

Henry,

Sumihar,

Maedjaja

2024

jipi. jurnal. ilmiah. penelitian. dan. pembelajaran. informatik

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Anaemia is a common global disorder condition in which the red blood cell count is lower than normal. Traditional diagnostic methods often prove costly, invasive, and inaccessible, leading to delays in treatment and severe consequences. This study explores non-invasive techniques leveraging smartphone technology for efficient anaemia detection. Some researcher investigated that eye’s conjunctiva analysis can a viable alternative, considering its rich blood vessel network and sensitivity to anaemia indicators, independent of skin color. Utilizing smartphone cameras, the study establishes a robust correlation between the color of the conjunctiva and anaemia status, offering a promising avenue for non-invasive diagnosis. Employing a hybrid methodology, the study integrates You Only Look Once (YOLO) version 8 for efficient object detection, achieving a mean average precision of 96% in extracting Regions of Interest (ROI) from conjunctiva images. Subsequently, K-Nearest Neighbors (KNN) classification of features extracted from these ROI’s attained an 83% accuracy rate in determining anaemia status. Furthermore, the study aims to extend its impact by developing an Android application using the Flutter framework. This application integrates the established YOLO and KNN approaches, enabling real-time anaemia detection through smartphone cameras. Such a tool holds the potential to facilitate early evaluations in resource-constrained regions, enabling timely diagnosis and intervention, thus mitigating the adverse effects of untreated anaemia.

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Section: Introductionmentioning

confidence: 99%

Automated Anaemia Detection From Conjunctiva Images : A Machine Learning Approach for Android Application

Henry,

Sumihar,

Maedjaja

2024

jipi. jurnal. ilmiah. penelitian. dan. pembelajaran. informatik

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Nutritional Status and Lifestyle of Children in Orphanages and Middle-Class Families in Khulna City, Bangladesh: A Cross-Sectional Study

Safa,

Alvi,

Mahazabin

2024

Preprint

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The lack of biological parents has a significant effect on a child’s growth and overall welfare. This study examines the circumstances of children living in orphanages where one or both parents have passed away, as well as children from middle-class households. The main focus is on their lifestyle, nutritional status, and well-being. We performed a chi-square test and descriptive analysis to establish a correlation. Our research revealed that orphaned children in the orphanage tend to mostly consume carbohydrate-rich foods in their diet. Inadequate access to nourishing food can impede their capacity to sustain optimal physical and mental well-being. Furthermore, the absence of recreational amenities in the orphanage may impede their mental well-being, as they already experience psychological challenges due to the absence of parental affection. Children from middle-class households are often exposed to a significant amount of unhealthy fast food and bakery items. This practice should be discontinued in order to promote a healthier society.

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eDakterBari: A human-centered solution enabling online medical consultation and information dissemination for resource-constrained communities in Bangladesh

Cited by 2 publications

References 43 publications

Automated Anaemia Detection From Conjunctiva Images : A Machine Learning Approach for Android Application

Automated Anaemia Detection From Conjunctiva Images : A Machine Learning Approach for Android Application

Nutritional Status and Lifestyle of Children in Orphanages and Middle-Class Families in Khulna City, Bangladesh: A Cross-Sectional Study

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