Age Prediction of Death in India' CoVID-19 Pandemic using Machine Learning Methods
3rd IEEE International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021
; : 242-245, 2021.
Article
in English
| Scopus | ID: covidwho-1707530
ABSTRACT
CoVID-19 is a widespread pandemic all over the world. It is important to give in-depth research on it. In this work, we aim to predict the age of death in India's CoVid-19. We conduct this work using two machine learning methods, including AdaBoost and Random Forest. Then, we also apply feature selection to speed up the training processing, using random selection, PCA, SVD, and correlation. Between those two methods, we find that the AdaBoost is more suitable for age prediction, and the correlation method, with little performance decreasing, achieves 3 times speed up during training. © 2021 IEEE.
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
3rd IEEE International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021
Year:
2021
Document Type:
Article
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