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Data Classification Model for COVID-19 Pandemic · Peerford

Book chapter · Book chapter · 2021

Data Classification Model for COVID-19 Pandemic

Sakinat Oluwabukonla Folorunso, Joseph Bamidele Awotunde, Nureni Olawale Adeboye, Opeyemi Matiluko

Studies in systems, decision and control

Closed access
World top 10%

Go to the publisher 10.1007/978-3-030-77302-1_6

Citations: 12from other works
Field-weighted impact: 7.741.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 4from 4 institutions

Authors

4 authors across 4 institutions in 1 country

Sakinat Oluwabukonla FolorunsoFirst authorCorresponding
- Olabisi Onabanjo University (NG)
Joseph Bamidele Awotunde
- University of Ilorin (NG)
Nureni Olawale Adeboye
- The Federal Polytechnic Ilaro (NG)
Opeyemi MatilukoSenior author
- Landmark University (NG)
as printed: Opeyemi Emmanuel Matiluko

Development goals

3Good health and well-being

Country

Nigeria

Fields

A work can sit in several, each with a score

COVID-19 diagnosis using AITopic
Artificial Intelligence in HealthcareTopic
AI in cancer detectionTopic