An Analysis of Supervised Machine Learning Algorithms for COVID-19 Diagnosis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2397-5_71
Reference22 articles.
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2. Aljameel SS, Khan IU, Aslam N et al (2021) Machine learning-based model to predict the disease severity and outcome in COVID-19 patients. Sci Program. https://doi.org/10.1155/2021/5587188
3. Avr S Samples to COVID-19 in Israel Dataset. https://www.kaggle.com/shiravr/israel-covid19-dataset
4. Bankar A, Padamwar K, Jahagirdar A (2020) Symptom analysis using a machine learning approach for early stage lung cancer. In: 2020 3rd international conference on intelligent sustainable systems (ICISS), 246–250. https://doi.org/10.1109/ICISS49785.2020.9315904
5. Devi RG, Sumanjani P (2015) Improved classification techniques by combining KNN and random forest with Naive Bayesian classifier. In: 2015 IEEE international conference on engineering and technology (ICETECH), 20–23. https://doi.org/10.1109/ICETECH.2015.7274997
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