Predicting death risk analysis in fully vaccinated people using novel extreme regression-voting classifier.

Saad, Eysha; Sadiq, Saima; Jamil, Ramish; Rustam, Furqan; Mehmood, Arif; Choi, Gyu Sang; Ashraf, Imran

Saad, Eysha; Sadiq, Saima; Jamil, Ramish; Rustam, Furqan; Mehmood, Arif; Choi, Gyu Sang; Ashraf, Imran.

Afiliação

Saad E; Department of Computer Science, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Sadiq S; Department of Computer Science, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Jamil R; Department of Computer Science, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Rustam F; Department of Software Engineering, University of Management and Technology, Lahore, Pakistan.
Mehmood A; Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Choi GS; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Ashraf I; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.

Digit Health ; 8: 20552076221109530, 2022.

Article em En | MEDLINE | ID: mdl-35898288

Palavras-chave

COVID-19; adverse reactions; machine learning; post-vaccination symptoms

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Digit Health Ano de publicação: 2022 Tipo de documento: Article

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