Classification of Hematological Data Using Data Mining Technique to Predict Diseases

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Classification of Hematological Data Using Data Mining Technique to Predict Diseases"
written by Fahmida Akter, Md Altab Hossin, Golam Moktader Daiyan, Md. Motaher Hossain,
published by Journal of Computer and Communications, Vol.6 No.4, 2018

has been cited by the following article(s):

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[2]	Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics Lecture Notes in Electrical Engineering, 2024 DOI:10.1007/978-981-97-1463-6_23

[3]	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

[4]	Artificial intelligence to assist specialists in the detection of haematological diseases Heliyon, 2023 DOI:10.1016/j.heliyon.2023.e15940

[5]	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

[6]	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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[8]	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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