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CP-AnemiC:A conjunctival pallor dataset and benchmark for anemia detection in children

Medicine in Novel Technology and Devices 2023年第2期18卷 226-233页

作者： Peter Appiahene Kunal Chaturvedi Justice Williams Asare emmanuel timmy donkoh Mukesh Prasad University of Energy and Natural Resources Sunyani214Ghana School of Computer Science FEITUniversity of Technology SydneySydney2007Australia

Anemia is a universal public health issue,which occurs as the result of a reduction in red blood *** disease is common among children in Africa and other developing *** not treated early,children may suffer longterm consequences such as impairment in social,emotional,and cognitive *** detection of anemia in children is highly desirable for effective treatment *** there has been research into the development of computer-aided diagnosis(CAD)systems for anemia diagnosis,a significant proportion of these studies encountered limitations when working with limited *** overcome the existing issues,this paper proposes a large dataset,named CP-AnemiC,comprising 710 individuals(range of age,6–59 months),gathered from several hospitals in *** conjunctiva image-based dataset is supported with Hb levels(g/dL)annotations for accurate diagnosis of anemia.A joint deep neural network is developed that simultaneously classifies anemia and estimates hemoglobin levels(g/dL)based on the conjunctival pallor *** paper conducts a comprehensive experiment on the CP-AnemiC *** experimental results demonstrate the efficacy of the joint deep neural network in both the tasks of anemia classification and Hb levels(g/dL)estimation.

关键词： Anemia Hemoglobin Conjunctiva pallor Convolutional neural network Deep learning Classification Regression

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Detection of anemia using conjunctiva images:A smartphone application approach

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Medicine in Novel Technology and Devices 2023年第2期18卷 169-180页

作者： Peter Appiahene Enoch Justice Arthur Stephen Korankye Stephen Afrifa Justice Williams Asare emmanuel timmy donkoh Department of Computer Science and Informatics University of Energy and Natural ResourcesSunyaniGhana Department of Basic and Applied Biology University of Energy and Natural ResourcesSunyaniGhana

Anemia is one of the public health issues that affect children and pregnant women *** occurs when the level of red blood cells within the body is *** anemia requires expert blood draw for clinical analysis of hemoglobin *** this standard method is accurate,it is costive and consumes enough time,unlike the non-invasive approach which is cost-effective and takes less *** study focused on pallor analysis and used images of the conjunctiva of the eyes to detect anemia using machine learning *** study used a publicly available dataset of 710 images of the conjunctiva of the eyes acquired with a unique tool that eliminates any interference from ambient *** combined Convolutional Neural Networks,Logistic Regression,and Gaussian Blur algorithm to develop a conjunctiva detection model and an anemia detection model which runs on a Fast API server connected to a frontend mobile app built with React *** developed model was embedded into a smartphone application that can detect anemia by capturing and processing a patient's conjunctiva with a sensitivity of 90%,a specificity of 95%,and an accuracy of 92.50%on average performance in about 50 s.

关键词： Anemia detection Pallor analysis Conjunctiva Machine learning Red blood cells

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Application of ensemble models approach in anemia detection using images of the palpable palm

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Medicine in Novel Technology and Devices 2023年第4期20卷 76-86页

作者： Peter Appiahene Samuel Segun Dzifa Dogbe emmanuel Edem Yaw Kobina Philip Sackey Dartey Stephen Afrifa emmanuel timmy donkoh Justice Williams Asare Department of Computer Science and Informatics University of Energy and Natural ResourcesGhana Department of Information and Communication Engineering Tianjin UniversityChina c Department of Basic and Applied Biology University of Energy and Natural ResourcesGhana

Anemia is a public health issue with serious ramifications for human health *** particularly affects pregnant women and children from 6 to 59 months old even though every individual is at *** occurs when the Hb level is below its normal threshold or when the red blood cells are weakened or *** discover medical remedies on time,early detection or diagnosis of anemia assist patients to understand their *** invasive approach for anemia detection is costive and time-consuming as compared to the non-invasive approach which is reliable and suitable for developing communities where medical resources and personnel are *** study uses palpable palm images(dataset)collected from 710 participants in selected hospitals in *** images were extracted,segmented and converted into RGB percentile to train,validate and tested the machine learning models.A hybrid model was developed with the application of ensemble learning models using the R programming language on the R Studio ***,voting,boosting and bagging ensemble model techniques were used to build the hybrid models,the stacking ensemble model achieved an accuracy of 99.73%.The study justifies that ensemble models are efficient for medical disease diagnosis or detection such as anemia.

关键词： Machine learning Anemia detection Ensemble learning Algorithms

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