Research Papers - Dept of Information Technology

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Author: search.filters.author.Rathnayake, PHas files: Yes

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    Non-Communicable Diseases Detection System
    (IEEE, 2021-12-09) Thudawehewa, H. R; Jayawardhana, W. A. P. T; Wellehewa, C. G; Silva, C; Rathnayake, P
    This research paper presents a Non-communicable Diseases Detection System which is a centralized medical system designed for general public usage. The system aims to provide help for people with non-communicable diseases. In a pandemic situation like this where people find it difficult to reach medical facilities and staff, the system is more advantageous. The system covers areas related to the medical report analysis, BMI value prediction, and breast cancer analysis related to non-communicable diseases. Presently health reports are taken for every disease. BMI is a factor essential to everyone to lead a healthy life. The majority of women suffer from breast cancer. As per the findings of the report, the report analysis predicts possible diseases that can occur in the person concerned. In BMI prediction, particularly the possible BMI value and weight value for the next month is predicted. In Mammogram detection, it gives the current status of the breast. The report analysis model has 90.6% accuracy while the BMI prediction model has 99.7% accuracy. The mammogram detection model proved that it has 96.5% accuracy. All the aforesaid procedures were carried out by analyzing related data systematically. Machine learning, Deep learning, and Image processing techniques were used to develop this system. The main purpose of this system is to make the persons aware of their current health status and to prevent them from having non-communicable diseases.
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    Screening Tool for Autistic Children
    (IEEE, 2019-01-23) Tittagalla, V. Y; Wickramarachchi, R. R. P; Chandrarathne, G. W. C. N; Nanayakkara, N. M. D. M. B; Samarasinghe, P; Rathnayake, P; Pemadasa, M. G. N. M
    Autism is a neurological disability that has been caused due to brain abnormality in a person. A person with Autism Spectrum Disorder(ASD) usually has difficulty in social and communication skills. In the past few years there hasn't been a proper way of identifying Autistic children in Sri Lanka. In this research paper, we will discuss how to identify an autistic child by considering mobile application with the following factors. Identify the eye contact, responsiveness to stimulus, analysis of vocal behavioral patterns and questionnaire. The above four factors will be the main key areas in screening process. This tool is created especially for identifying children with autism in rural areas in Sri Lanka. The major three areas eye contact, vocal behavior and responsiveness are the screening process is developed for proof of concept in this research.