Emerging point-of-care technologies for anemia detection

R An, Y Huang, Y Man, RW Valentine, E Kucukal… - Lab on a Chip, 2021 - pubs.rsc.org
Anemia, characterized by low blood hemoglobin level, affects about 25% of the world's
population with the heaviest burden borne by women and children. Anemia leads to …

[HTML][HTML] Detection of anaemia using medical images: A comparative study of machine learning algorithms–A systematic literature review

JW Asare, P Appiahene, ET Donkoh - Informatics in Medicine Unlocked, 2023 - Elsevier
Background Anaemia is a global public health challenge that affects children and pregnant
women. Anaemia develops when the body's supply of red blood cells declines or when the …

[HTML][HTML] An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset

G Dimauro, ME Griseta, MG Camporeale… - Artificial Intelligence in …, 2023 - Elsevier
Anemia is a condition in which the oxygen-carrying capacity of red blood cells is insufficient
to meet the body's physiological needs. It affects billions of people worldwide. An early …

Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms

P Appiahene, JW Asare, ET Donkoh, G Dimauro… - BioData mining, 2023 - Springer
Background Anemia is one of the global public health problems that affect children and
pregnant women. Anemia occurs when the level of red blood cells within the body …

Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images

JW Asare, P Appiahene, ET Donkoh… - Engineering …, 2023 - Wiley Online Library
Anemia is one of the global public health challenges that particularly affect children and
pregnant women. A study by WHO indicates that 42% of children below the age of 6 and …

[HTML][HTML] A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia

SM Sarsam, H Al-Samarraie, AI Alzahrani… - Artificial Intelligence in …, 2022 - Elsevier
Social media sites, such as Twitter, provide the means for users to share their stories,
feelings, and health conditions during the disease course. Anemia, the most common type of …

sHEMO: Smartphone spectroscopy for blood hemoglobin level monitoring in smart anemia-care

S Ghosal, D Das, V Udutalapally… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Anemia occurs due to low blood hemoglobin levels, and for its mass screening, both
invasive and smart anemia-care techniques are used. However, significant drawbacks …

Neural network based non‐invasive method to detect anemia from images of eye conjunctiva

P Jain, S Bauskar… - International Journal of …, 2020 - Wiley Online Library
Detection of anemia can be done by examining the hemoglobin concentration level in the
blood using complete blood count, which is an invasive, time‐consuming, and costly …

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

P Appiahene, SSD Dogbe, EEY Kobina… - Medicine in Novel …, 2023 - Elsevier
Anemia is a public health issue with serious ramifications for human health globally. Anemia
particularly affects pregnant women and children from 6 to 59 months old even though every …

Two-stage hemoglobin prediction based on prior causality

Y Chen, K Zhong, Y Zhu, Q Sun - Frontiers in public health, 2022 - frontiersin.org
Introduction Perioperative hemoglobin (Hb) levels can influence tissue metabolism. For
clinical physicians, precise Hb concentration greatly contributes to intraoperative blood …