[HTML][HTML] Detection of anaemia using medical images: A comparative study of machine learning algorithms–A systematic literature review
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 …
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 …
to meet the body's physiological needs. It affects billions of people worldwide. An early …
Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques
Nutrients are critical to the functioning of the human body and their imbalance can result in
detrimental health concerns. The majority of nutritional literature focuses on macronutrients …
detrimental health concerns. The majority of nutritional literature focuses on macronutrients …
[HTML][HTML] Detection of anemia using conjunctiva images: A smartphone application approach
P Appiahene, EJ Arthur, S Korankye, S Afrifa… - Medicine in Novel …, 2023 - Elsevier
Anemia is one of the public health issues that affect children and pregnant women globally.
Anemia occurs when the level of red blood cells within the body is reduced. Detecting …
Anemia occurs when the level of red blood cells within the body is reduced. Detecting …
Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images
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 …
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
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 …
feelings, and health conditions during the disease course. Anemia, the most common type of …
Semantic segmentation of palpebral conjunctiva using predefined deep neural architectures for anemia detection
Non-invasive detection of anemia is generally done by physical examination of regions like
palpebral conjunctiva, fingernails, tongue and palmar creases. However, such examination …
palpebral conjunctiva, fingernails, tongue and palmar creases. However, such examination …
[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 …
particularly affects pregnant women and children from 6 to 59 months old even though every …
Personal heart health monitoring based on 1D convolutional neural network
The automated detection of suspicious anomalies in electrocardiogram (ECG) recordings
allows frequent personal heart health monitoring and can drastically reduce the number of …
allows frequent personal heart health monitoring and can drastically reduce the number of …
Non-invasive hemoglobin estimation from conjunctival images using deep learning
B Çuvadar, H Yılmaz - Medical Engineering & Physics, 2023 - Elsevier
Hemoglobin, a crucial protein found in erythrocytes, transports oxygen throughout the body.
Deviations from optimal hemoglobin levels in the blood are linked to medical conditions …
Deviations from optimal hemoglobin levels in the blood are linked to medical conditions …