4 research outputs found

    Community Sponsorship System

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    In spite of the progress everywhere around the world, many children are still unable to have their basic rights of living. Child welfare services are concerned with helping vulnerable children by supporting their families and preventing problems by intervention services and tools that involve various resources. Information and Communication Technology (ICT) has a powerful capacity to transmit and deliver information besides controlling the communication. Community Sponsorship System for vulnerable children is suggested in this project by employing a Client Information System (CIS) that seeks ways to manipulate data processed by the CIS in order to assure the needs of vulnerable children and available services / resources are relevantly matched

    Involving machine learning techniques in heart disease diagnosis: a performance analysis

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    Artificial intelligence is a science that is growing at a tremendous speed every day and has become an essential part of many domains, including the medical domain. Therefore, countless artificial intelligence applications can be seen in the medical domain at various levels, which are employed to enhance early diagnosis and prediction and reduce the risks associated with many diseases, including heart diseases. In this article, machine learning techniques (logistic regression, random forest, artificial neural network, support vector machines, and k-nearest neighbors) are utilized to diagnose heart disease from the Cleveland Clinic dataset got from the University of California Irvine machine learning (UCL) repository and Kaggle platform then create a comparison between the performance of these techniques. In addition, some literature related to machine learning and deep learning techniques that aim to provide reasonable solutions in monitoring, detecting, diagnosing, and predicting heart disease and how these technologies assist in making health decisions are reviewed. Ten studies are selected and summarized by the authors published between 2017 and 2022 are illustrated. After executing a series of tests, it is seen that the most profitable performance in diagnosing heart disease is the support vector machines, with a diagnostic accuracy of 96%. This article has concluded that these techniques play a significant and influential role in assisting physicians and health care workers in analyzing heart patients' data, making health decisions, and saving patients' lives

    E-learning system for autistic children

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    In general, children with autism may have with social/emotional relationships problems, problems with communication, trouble with surroundings, consciousness problems and cognitive problems. The purpose this study is to help autistic children learn alphabets in the early levels of learning. With this paper, we hope to propose an e-learning school-base system for autistic children of education ages between 4-6 years.In addition, our system will enable teachers to teach one or more children at the same time

    Mobile-base Registration System for Blood Donation (MBRS-BD)

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    In the healthcare management domain, blood donation receives a particular interest due to its crucial and vital importance in saving people’s lives. In Iraq, the blood donation procedure usually consumes a lot of time for donors as it is carried out through a non-automated and paper-based process, which is done only in hospitals/ medical centers for those who are willing to donate. Patients who are in a need for blood donation may have to wait until they receive the service, and this may results in dramatic or undesired consequences. At the same, the blood donation procedure negatively affects people who are willing or wish to donate blood and mostly leads to ignore this matter by a lot of them unless there is a critical situation concerning one of their family members.  This paper propose a Mobile-Base Registration System for Blood Donation (MBRS_BD) using Firebase Cloud Messaging (FCM) to manage the process of donor’s registration automatically using a smartphone to simulate, ease, and minimize the time required for that.  Donor can register in any available Iraqi hospitals/ medical center using MBRS-BD and go in the exact time to complete his/her donation process
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