Thông tin tài liệu
Nhan đề : |
IoT-cloud based healthcare model for COVID-19 detection an enhanced k-Nearest Neighbour classifier based approach |
Tác giả : |
Rajendrani, Mukherjee Aurghyadip, Kundu Indrajit, Mukherjee |
Năm xuất bản : |
2023 |
Nhà xuất bản : |
Springer |
Tóm tắt : |
COVID - 19 affected severely worldwide. The pandemic has caused many causalities in a very short span. The IoT-cloud-based healthcare model requirement is utmost in this situation to provide a better decision in the covid-19 pandemic. In this paper, an attempt has been made to perform predictive analytics regarding the disease using a machine learning classifier. This research proposed an enhanced KNN (k NearestNeighbor) algorithm eKNN, which did not randomly choose the value of k. However, it used a mathematical function of the dataset’s sample size while determining the k value. The enhanced KNN algorithm eKNN has experimented on 7 benchmark COVID-19 datasets of different size, which has been gathered from standard data cloud of different countries (Brazil, Mexico, etc.). |
Mô tả: |
CC BY |
URI: |
https://link.springer.com/article/10.1007/s00607-021-00951-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7365 |
Bộ sưu tập |
OER - Công nghệ thông tin |
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