A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

Author:

Ahamad Md. Martuza,Aktar Sakifa,Rashed-Al-Mahfuz Md.,Uddin ShahadatORCID,Liò Pietro,Xu Haoming,Summers Matthew A.,Quinn Julian M.W.,Moni Mohammad AliORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference23 articles.

1. Agarwal, R. (2019). The 5 Classification Evaluation metrics every Data Scientist must know.https://towardsdatascience.com/the-5-classification-evaluation-metrics-you-must-know-aa97784ff226 Accessed 18 April 2020.https://www.aljazeera.com/news/2020/01/countries-confirmed-cases-coronavirus-200125070959786.html Accessed 18 April 2020.

2. BDBC-KG-NLP/COVID-19-tracker. GitHub. (2020).https://github.com/BDBC-KG-NLP/COVID-19-tracker Accessed 20 February 2020.

3. Accelerated gradient boosting;Biau;Machine Learning,2019

4. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster;Chan;The Lancet,2020

5. XGBoost: A scalable tree boosting system;Chen,2016

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