Malaria Disease Prediction Using Frequency-Based Machine Learning Algorithms and Ensembles Algorithms-Reference-Cited by-同舟云学术

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Malaria Disease Prediction Using Frequency-Based Machine Learning Algorithms and Ensembles Algorithms

Published:2023-11-01 Issue: Volume:16 Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
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Author:

Ahmad Hamisu Ismail¹,Prasad Rajesh²,Sharma Birendra Kumar³,Madaki Aisha Yakubu¹,Shuaibu Aliyu Rabiu⁴

Affiliation:

1. Nile University of Nigeria,Department of Computer Science,Abuja,Nigeria

2. Ajay Kumar Garg Engineering College,Department of Computer Science and Engineering,Ghaziabad,UP,India

3. Ajay Kumar Garg Engineering College,Department of MCA,Ghaziabad,UP,India

4. Nile University of Nigeria,Department of Software Engineering,Abuja,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379199/10379205/10379206.pdf?arnumber=10379206

Reference17 articles.

1. Malaria: A Global Perspective of Burden, Challenges and Control;Hossain,2019

2. Data mining techniques: supervised and unsupervised learning,2016

3. Predictive Analysis of Malaria Incidence Using Data Mining Techniques: A Case Study in India;Kumar;International Journal of Computer Applications,2020

4. Malaria Prediction6Model Using Data Mining Techniques;Shah;International Journal of Engineering & Technology,2020

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