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Browsing ICACT 2018 by Subject "Random Forest"

Browsing ICACT 2018 by Subject "Random Forest"

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  • Decision Support for Diagnosing Thyroid Diseases Using Machine Learning 
    Jayamini, W.K.D.; Weerasinghe, H.D. (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018)
    Diagnosis of thyroid disorders using two machine learning techniques was studied in this research. Multilayer Perceptron Neural Network with Back-propagation algorithm and Random Forest algorithm were the two algorithms ...
  • Introducing Novel Classification Methodology to Detect Kidney Disease Patterns in Sri Lanka 
    Chathurangi, K.A.A.; Kapila, R.M.; Rathnayaka, T. (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018)
    The healthcare sector has vast amount of medical data which are not properly analyzed and mined to discover useful information and interesting patterns. Applying data mining techniques on such domain can help medical ...

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