[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 …
[HTML][HTML] Red blood cell classification based on attention residual feature pyramid network
W Song, P Huang, J Wang, Y Shen, J Zhang… - Frontiers in …, 2021 - frontiersin.org
Clinically, red blood cell abnormalities are closely related to tumor diseases, red blood cell
diseases, internal medicine, and other diseases. Red blood cell classification is the key to …
diseases, internal medicine, and other diseases. Red blood cell classification is the key to …
[HTML][HTML] Classification and Explanation of Iron Deficiency Anemia from Complete Blood Count Data Using Machine Learning
S Pullakhandam, S McRoy - BioMedInformatics, 2024 - mdpi.com
Background: Currently, discriminating Iron Deficiency Anemia (IDA) from other anemia
requires an expensive test (serum ferritin). Complete Blood Count (CBC) tests are less costly …
requires an expensive test (serum ferritin). Complete Blood Count (CBC) tests are less costly …
An Artificial Intelligence Approach for Data Modelling Patients Inheritance of Sickle Cell Disease (SCD) in the Eastern Regions of Saudi Arabia.
M Gollapalli, A Alfaleh - Mathematical Modelling of …, 2022 - search.ebscohost.com
Sickle cell disease (SCD) is a genetic illness that affects red blood cells and can lead to
major complications like Acute Chest Syndrome (ACS), Cerebrovascular Accident (CVA) …
major complications like Acute Chest Syndrome (ACS), Cerebrovascular Accident (CVA) …
Enhancing Disease Diagnosis: Statistical Analysis of Haematological Parameters in Sickle Cell Patients, Integrating Predictive Analytics
B Dash, S Naveen… - … Endorsed Transactions on …, 2024 - publications.eai.eu
Sickle cell disease (SCD) affects 30 million people worldwide, causing a range of symptoms
from mild to severe, including Vaso occlusive crises (VOC). SCD leads to damaging cycles …
from mild to severe, including Vaso occlusive crises (VOC). SCD leads to damaging cycles …
Deep Learning-Based Red Blood Cell Classification for Sickle Cell Anemia Diagnosis Using Hybrid CNN-LSTM Model.
A mutation in the beta-globin gene results in the blood condition known as Sickle cell
anemia. It is estimated that number of individuals affected by sickle cell anemia worldwide …
anemia. It is estimated that number of individuals affected by sickle cell anemia worldwide …
A survey on the use of machine learning approaches for analysis of anemia
Anemia is the most common blood disorder where the blood lacks a sufficient amount of red
blood cells which results in an insufficient amount of oxygen being supplied to the body …
blood cells which results in an insufficient amount of oxygen being supplied to the body …
Experimental study and comparison of medical methodology and machine learning models to enhance algorithms for morphological classification of clinical and …
I Uvaliyeva, D Borozenets - 2024 International Congress on …, 2024 - ieeexplore.ieee.org
The dynamic evolution of modern medicine highlights the increasing significance of
automating diagnostic procedures. This progression is not solely a matter of convenience …
automating diagnostic procedures. This progression is not solely a matter of convenience …
Recent Artificial Intelligence Advances in Detection and Diagnosis of Sickle Cell Disease: A review
Sickle cell anemia is a genetic disease characterized by a genuine alteration of hemoglobin
that leads to the emergence of sickle-shaped red blood cells. The clinical diagnosis of sickle …
that leads to the emergence of sickle-shaped red blood cells. The clinical diagnosis of sickle …
A new approach for overlapping cell separation in pre-processed sickle images using SCP model
S Aiswarya, M Krishnaveni, P Subashini… - AIP Conference …, 2024 - pubs.aip.org
Identification of sickle cell disease (SCD) plays a crucial role in healthcare image analysis.
By categorizing the red blood cell abnormalities and cell counts, it comprehensively …
By categorizing the red blood cell abnormalities and cell counts, it comprehensively …