has been cited by the following article(s):
[1]
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An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears
EAI Endorsed Transactions on Pervasive Health and Technology,
2023
DOI:10.4108/eetpht.9.3913
|
|
|
[2]
|
Artificial intelligence to assist specialists in the detection of haematological diseases
Heliyon,
2023
DOI:10.1016/j.heliyon.2023.e15940
|
|
|
[3]
|
Identification of Anemia and Its Severity Level in a Peripheral Blood Smear Using 3-Tier Deep Neural Network
Applied Sciences,
2022
DOI:10.3390/app12105030
|
|
|
[4]
|
Data mining concepts in healthcare with discussion on prediction of diseases
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON),
2022
DOI:10.1109/COM-IT-CON54601.2022.9850851
|
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|
[5]
|
Risk Factors Selection for Predicting Thalassemia Patients using Linear Discriminant Analysis
2020 Prognostics and Health Management Conference (PHM-Besançon),
2020
DOI:10.1109/PHM-Besancon49106.2020.00008
|
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[6]
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Student Performance Prediction Model based on Supervised Machine Learning Algorithms
IOP Conference Series: Materials Science and Engineering,
2020
DOI:10.1088/1757-899X/928/3/032019
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