https://ir.kdu.ac.lk/handle/345/7291 2026-04-08T13:44:17Z https://ir.kdu.ac.lk/handle/345/7365 A Clustering Method to Identify Mental Health Patient Groups with Similar Treatment Outcomes Senarathne, Kavindya; Weerasinghe, Vojini; Salgadu, Lehan A person's complete emotional, psychological, and social well-being is referred to as their mental health. It has an impact on how people feel, think, and act, as well as how they act and react to obstacles in life. Maintaining positive relationships, accomplishing goals, and living a satisfying life all depend on having good mental health. No matter what one's age, gender, race, or financial situation may be, mental health concerns can present themselves in a variety of ways and can affect everyone. Anxiety disorders, sadness, bipolar disorder, and schizophrenia are typical mental health issues. An individual's capacity to work, study, and sustain relationships can all be significantly impacted by mental health issues. Thankfully, there are a variety of treatments available, including counseling, medications, and dietary adjustments. Prioritizing mental health and getting treatment when needed are crucial. In the present study we analyze the treatments such as home treatments, early intervention and assertive outreach which were done focusing patients of United Kingdom. For this purpose, K-means clustering technique is used to cluster patients with similar disorders to categorize easily for their treatments. As a result of a considerable portion of the general population experiencing mental health issues at home point in their lives, mental health is a growingly important issue in the UK. Thus, this research will immensely help to get precautions at the correct time and to minimize mental disorders. 2023-09-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/7363 Development of an Intelligent Software Solution for AI -Enabled Stethoscope: Accurate CAD Diagnosis and Real-time Feedback System Damsuvi, JKAT; Wickramasinghe, BCT Although the classic stethoscope has long been a crucial diagnostic tool for cardiac conditions, it has an elementary level of accuracy in diagnosis capability. And mainly the diagnostic capability of traditional stethoscope relies on the listener's experience and expertise. Number of cardio patients are increasing day by day due to the low accuracy rate of the traditional stethoscope. And it has very limited capability to provide real time feed-back during auscultation. So, here we decided to develop software prototype for a tube-free intelligent stethoscope that not only diagnoses heart diseases but also provides real-time feedback and guidance during heart auscultation. This uses modern machine learning algorithms and real-time signal processing to diagnose heart problems accurately and quickly while providing real-time feedback to assist physicians during the heart auscultations. Here we specially focused on CAD (coronary artery disease). It captured audio signals from patient‘s heart using sensors and thereby the collected audio signals are preprocessed and converted into spectrograms using short-time Fourier transform (STFT) for frequency domain analysis. Then the trained convolutional neural network (CNN) model achieves a high accuracy rate in differentiating between normal and abnormal heart sounds, enabling accurate CAD diagnosis. And finally, we got an accuracy rate of 65 %. This research has significant implications for cardiology and healthcare, revolutionizing heart disease diagnosis by enabling faster, accurate, effective, and early diagnosis. The integration of real-time feedback and guidance during auscultation provides valuable insights for effective diagnosis and future enhancements in clinical settings. 2023-09-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/7362 Investigating the Features of Academic Writing in Research among Undergraduates Pathirana, RVARK; Lokuliyana, SS In academic settings, academic writing is a specialized style of writing that adheres to specific rules and guidelines. As noted by Smith (2019), it is characterized by a formal and unbiased tone, precise terminology, and adherence to established norms. This study aims to explore two aspects of academic writing: the use of hedging and the frequency of personal pronouns. To facilitate future research, a mini-corpus called the "Academic Writing in Research Corpus" (AWRC) is introduced. This corpus will serve as a valuable resource for investigating the patterns and tendencies related to hedging and the use of personal pronouns in academic writing. By exploring these aspects, the study aims to contribute to a deeper understanding of the linguistic characteristics of academic writing, providing insights into the ways in which authors employ hedging strategies and the role of personal pronouns in scholarly discourse. The findings will contribute to future research endeavors in this area. The study focuses on undergraduates from the Faculty of Law at General Sir John Kotelawala Defense University. The research design involves collecting proposal writings from this group as representative samples. The collected data will be processed and analyzed to quantify the frequency of hedging and personal pronoun usage. A comparative analysis will be conducted to compare these usage patterns across different proposals. Statistical techniques may be used to determine the significance of any observed differences. This research design will provide valuable insights into the frequency and patterns of hedging and personal pronouns in research writing by undergraduate students. 2023-09-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/7360 Factors to Consider: Promoting Speaking Competence of National Languages of Sri Lanka Jayathilleka, UGWR; Hidellarachchi, WE; Jayasinghe, VU Incompetency of verbal communication in national languages is a national-level problem in Sri Lanka when the two main language groups do not use a common language or when the citizens do not know both national languages of the country. In that context, the objective of this research is to identify the factors that hinder verbal communication between two linguistic communities in Sri Lanka, Sinhala and Tamil, and to explore the factors that can motivate the process of improving the number of speakers who are competent in Sinhala and Tamil. The aim is to facilitate harmonious coexistence among ethnicities and to increase the intercultural understanding for peaceful reconciliation in Sri Lanka. The explorative study adhered to the inductive reasoning approach. Based on the cross-sectional sampling method, 09 professionals constantly involved in verbal communication were selected, representing government and non-government institutes. The sample was collected from four provinces, particularly regarding the highest density of the multiethnic community in Sri Lanka. Interview-based qualitative data were analyzed and presented through thematic analysis followed by the themes that illustrate the aspects of educational, political, cultural, and professional. The findings suggested closely monitoring the policies and practices related to national language learning, using career advancement strategies for language learning motivation and conducting mandatory language development programmes for Sinhala and Tamil and implementing them for primary, secondary and tertiary education to build verbal communication among people to link people from different linguistic groups. 2023-09-01T00:00:00Z