Browsing by Author "Mamata, Rezwana"

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    Machine Learning Applied to Kidney Disease Prediction
    (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30) Rabby, A.K.M. Shahariar Azad; Mamata, Rezwana; Laboni, Monira Akter; Ohidujjaman; Abujar, Sheikh
    Machine learning has earned a remarkable position in healthcare sector because of its capability to enhance the disease prediction in healthcare sector. Artificial intelligence and Machine learning techniques are being used in healthcare sector. Nowadays, one of the world's crucial health related problem is kidney disease. It is increasing day by day because of not maintaining proper food habits, drinking less amount of water and lack of health consciousness. So we need some technique that will continuously monitor health condition effectively. Here, we have proposed an approach for real time kidney disease prediction, monitoring and application (KDPMA). Our aim is to find an optimized and efficient machine learning (ML) technique that can effectively recognize and predict the condition of chronic kidney disease. In this work, we used ten most popular machine learning technique to predict kidney disease. In this process, the data has been divided into two sections. In one section train dataset got trained and another section got evaluated by test dataset. The analysis results show that Decision Tree Classifier and Gaussian Naive Bayes achieved highest performance than the other classifiers, obtaining the accuracy score of 100% and 1 recall(Sensitivity) score. Now we are developing mobile application based on the best output results classifier technique to predict Kidney Disease from patient report.
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    Mobile Application for Goods Exchange
    (Daffodil International University, 2018-12-11) Afrin, Marjia; Mamata, Rezwana
    In our everyday life in the society we often misunderstand our needs and end-up with abundance of goods which sometimes causes additional management. From this perspective we conceived this project “Mobile Application for Goods Exchange”. This is an android application for general people. To develop a better virtual communication among the DIU student, so they can exchange or share their unused stuffs is the main goal of our project. This will be accessible to all users who have a valid email. User can send text or call another user through this system. In this system user can communicate with other users through chat. This System contains some features that helps a user creating own profile, post picture of their exchangeable or shareable stuff, find lost things if anyone post the thing’s picture, can have all course materials like slides, book pdf, course outline, and customize own profile. This report is intended as a guide for teachers and engineering students when conducting research is part of coursework requirements. In this project we made an android application which is helpful for common people. So, it is a platform to be connected with each other. Requirements of the proposed system is identified through interaction with end user. In future data analytics with artificial intelligence will help delivering quality services to the end users.