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The Application of Machine Learning Technique for Malaria Diagnosis · Peerford

Article · Journal · 2010

The Application of Machine Learning Technique for Malaria Diagnosis

Chibuike Chris Ogbonna Ugwu, N. L Onyejegbu, Ibidun Christiana Obagbuwa

International Journal of Green Computing

Closed access
World top 10%

Go to the publisher 10.4018/jgc.2010010107

Citations: 11from other works
Field-weighted impact: 5.551.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 3from 2 institutions

Authors

3 authors across 2 institutions in 1 country

Chibuike Chris Ogbonna UgwuFirst author
- University of Port Harcourt (NG)
as printed: C. Ugwu
N. L Onyejegbu
- University of Port Harcourt (NG)
Ibidun Christiana ObagbuwaSenior author
- Lagos State University (NG)
as printed: I. C Obagbuwa

Development goals

1No poverty

Country

Nigeria

Fields

A work can sit in several, each with a score

Data Mining Algorithms and ApplicationsTopic
Imbalanced Data Classification TechniquesTopic
Artificial Intelligence in HealthcareTopic