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Article · Journal · 2023

Prediction of Cervical Cancer Using Boosting Techniques

Ramoni Tirimisiyu Amosa, Adekiigbe Adebanjo, Olawale Olaniran Kayode, Fabiyi Aderanti Alifat, Olorunlomerue Adam Biodun, Oluwatosin Adefunke Oluwatobi and 2 more

International Journal of Research and Innovation in Applied Science

Open access · Bronze

Read it 10.51584/ijrias.2023.8605

Citations: 1from other works
Field-weighted impact: 0.311.00 is the world average for its field and year
Among its field: 71st percentileby citations, against works of its field and year
Authors: 8from 1 institution

Authors

8 authors

Ramoni Tirimisiyu AmosaFirst author
- Federal Polytechnic Ede (NG)
Adekiigbe Adebanjo
- Federal Polytechnic Ede (NG)
Olawale Olaniran Kayode
- Federal Polytechnic Ede (NG)
Fabiyi Aderanti Alifat
- Federal Polytechnic Ede (NG)
Olorunlomerue Adam Biodun
- Federal Polytechnic Ede (NG)
Oluwatosin Adefunke Oluwatobi
- Federal Polytechnic Ede (NG)
Adejola Aanu Adeyinka
Fakiyesi FavourSenior author
- Federal Polytechnic Ede (NG)

Development goals

3Good health and well-being

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Nigeria

Fields

A work can sit in several, each with a score

Artificial Intelligence in HealthcareTopic

Prediction of Cervical Cancer Using Boosting Techniques · Peerford