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    Probabilistic Model-Based Malaria Disease Recognition System
    with Rahila Parveen, Wei Song, Baozhi Qiu, Mairaj Nabi Bhatti, and Tallal Hassan
    Complexity 2021 1-11. 2021.
    In this paper, we present a probabilistic-based method to predict malaria disease at an early stage. Malaria is a very dangerous disease that creates a lot of health problems. Therefore, there is a need for a system that helps us to recognize this disease at early stages through the visual symptoms and from the environmental data. In this paper, we proposed a Bayesian network model to predict the occurrences of malaria disease. The proposed BN model is built on different attributes of the patien…Read more