[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 …

Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor

S Das, A Kesarwani, M Dalui, DR Kisku, B Sen… - … Signal Processing and …, 2023 - Elsevier
Blood haemoglobin concentration is a vital physiological parameter for assessing disease
conditions, such as Anaemia in the human body. Anaemia is one of the most common …

Analysis of anemia using data mining techniques with risk factors specification

MS Mohammed, AA Ahmad… - … Conference for Emerging …, 2020 - ieeexplore.ieee.org
Deficiency in healthy Red Blood Cells (RBC) leads to insufficient oxygen to be carried to
whole blood tissues. Many reasons cause such an issue like iron or vitamin deficiency which …

An Algorithm for the Estimation of Hemoglobin Level from Digital Images of Palpebral Conjunctiva Based in Digital Image Processing and Artificial Intelligence.

G Moreno, A Camargo, L Ayala… - … Journal of Online & …, 2024 - search.ebscohost.com
Anemia is a common problem that affects a significant part of the world's population,
especially in impoverished countries. This work aims to improve the accessibility of remote …

Non-invasive haemoglobin prediction using nail color features: An approach of dimensionality reduction

S Das, A Kesarwani, DR Kisku, M Dalui - International Conference on …, 2022 - Springer
Estimation of blood haemoglobin level is essential for evaluating health condition related to
anaemia and its associated diseases. The invasive way of haemoglobin estimation is costly …

Developing a Transparent Anaemia Prediction Model Empowered with Explainable Artificial Intelligence

MS Farooq, MHG Muhammad, O Ali, Z Zeeshan… - IEEE …, 2024 - ieeexplore.ieee.org
The worldwide health epidemic of anaemia which is a condition with low levels of red blood
cells or haemoglobin requires accurate prediction models to act promptly and improve …

Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection

A Kesarwani, S Das, DR Kisku, M Dalui - Biomedical Signal Processing …, 2024 - Elsevier
Anaemia, caused by low haemoglobin levels, affects billions of people worldwide. India has
one of the highest anaemia rates among developing nations, according to WHO data. Non …

Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images

M Ramzan, MU Saeed, G Ali - Discover Artificial Intelligence, 2024 - Springer
Anemia detection using multimodal approaches leverages the integration of multiple data
sources, such as imaging, clinical records, and hematological parameters, to improve …

Case-Based Reasoning (CBR)-Based Anemia Severity Detection System (ASDS) Using Machine Learning Algorithm

S De, B Chakraborty - … and Applications: Proceedings of AMLTA 2020, 2021 - Springer
Anemia is a very common disease around the world. Based on the patient's signs, symptoms
and hemoglobin amount of blood, the severity of anemia can be detected. This paper …