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

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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Maternal Age, Low Birth Weight and Early Neonatal Death in Tertiary Hospital in the Volta Region of Ghana

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Open Journal of Pediatrics 2017年第4期7卷 254-262页

作者： Innocent Afeke Lennox Mac-Ankrah Ibrahim Jamfaru Kokou H. Amegan-Aho Hintermann kobina Mbroh Sylvester Y. Lokpo edem Obum Delali Geni Joseph Adu-Amankwaah Verner N. Orish Department of Medical Laboratory Science School of Allied Health Science University of Health and Allied Sciences Ho Ghana Department of Microbiology and Immunology School of Medicine University of Health and Allied Sciences Ho Ghana Department of Paediatrics School of Medicine University of Health and Allied Sciences Ho Ghana Maternity Department Volta Regional Hospital Ho Ghana

Objectives: Current study sought to determine an association between Low Birth Weight (LBW) and early neonatal mortality at a resource limited country’s referral hospital and to determine relationship between maternal age and birth outcomes. Method: A retrospective study analyzing data on births in the Volta Regional Hospital, Ghana from the period of November 2011 to June 2016. A total of 8279 births were analyzed. Results: Results suggest that teenage mothers (8.60%) are more likely to give birth to pre-term babies than the elderly (6.60%) and the adult mothers (4.61%). LBW is highest among the teenage mothers (12.69%) followed by the elderly mothers (7.87%) and then the least among the adult mothers (6.48%). Extremely Low Birth Weight (ELBW) and Macrosomia births were more observed among the elderly mothers (0.90%;2.17%) than the teenage (0.28%;0.14%) and adult mothers (0.34%;1.61%) respectively. Data suggest that 100% of the ELBW were pre-term birth, 88.28% Very Low Birth Weight (VLBW), 34.56% LBW and only 1.06% of the pre-term birth were with Normal Birth Weight (NBW). Death rate ranges from 50% for ELBW, 33.59% for VLBW, 8.22% for LBW, 5.43% for Macrosomia and 1.5% for NBW. However, death rate distribution among the various age groups was statistically not significant (P 0.106). Conclusions: Our study suggests that early neonatal death, especially deaths among ELBW and VLBW is still high at the VRH of Ghana and therefore there is the need for further studies into interventions to reduce death among neonates born with VLBW and ELBW.

关键词： Low Birth Weight Neonate Early Neonatal Death Maternal Age

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