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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



B-PRED: AN INTELLIGENT AND ADAPTABLE MEDICAL DIAGNOSIS SYSTEM BASED ON BAGGING MACHINE LEARNING

[Full Text]

 

AUTHOR(S)

Soreen Ameen Fattah, Hussein Attya Lafta, Sura Z.Alrashid

 

KEYWORDS

Machine Learning, Ensemble Learning, Bagging, Medical Diagnosis, Diabetes, Heart Diseases, dataset splitting

 

ABSTRACT

Advancement in medical information systems has facilitated the development of automated diagnosis systems. Several Artificial Intelligence (AI) techniques have been implemented and studied in modern researches to come up with the most suitable and accurate medical diagnosis system. Bagging is one of these techniques, and it has been proven by several researches to be a powerful and convenient tool for such systems. In this research; bagging algorithm is used to produce a diagnosis system for two of the most common diseases: diabetes and heart diseases, where this algorithm used verified datasets of attributes that are combined with the same attributes values submitted by the patient through a dedicated interface. Testing the system and comparing it to other prediction systems proved its efficiency and accurate prediction rates.

 

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