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  1. 1
    Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction

    Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction by Mohd Aris, Teh Noranis, Abu Bakar, Azuraliza, Mahiddin, Normadiah, Zolkepli, Maslina

    Published 2024
    “…Overall, the proposed fuzzy rule-based diabetes diagnosis and level of care fuzzy model works well with most of the machine learning algorithms tested. …”
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  2. 2
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  3. 3
    Developing best practice guidelines for oral cancer management in Malaysia / Aznilawati Abdul Aziz

    Developing best practice guidelines for oral cancer management in Malaysia / Aznilawati Abdul Aziz by Aznilawati, Abdul Aziz

    Published 2017
    “…Enhancing the quality of care for oral cancer patients requires an evidence-based framework outlining the current and best practices in patient management. …”
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    Thesis
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  4. 4
    A network based fetal ECG monitoring algorithm

    A network based fetal ECG monitoring algorithm by Ibrahimy, Muhammad Ibn, Hasan , M. A., Motakabber, S. M. A.

    Published 2011
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  5. 5
    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images

    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images by Chong, Bei Wei

    Published 2015
    “…Algorithm that applies ellipse approximation provides better performance as compared with the algorithm that developed based on parabolic approximation. …”
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  6. 6
    Pet hero pet care services mobile application recommendation system using content-based filtering / Farah ‘Aliya Jasmin

    Pet hero pet care services mobile application recommendation system using content-based filtering / Farah ‘Aliya Jasmin by Jasmin, Farah ‘Aliya

    Published 2023
    “…Therefore, the introduction of the Pet Hero Pet Care Services Mobile Application using Content-Based Filtering techniques with TF-IDF algorithm can help overcome these challenges. …”
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  7. 7
    Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study

    Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study by Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida

    Published 2024
    “…Conclusions: This study developed and validated an ML-based model to predict the presence of MAEs among neonates in NICUs. …”
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  8. 8
    Efficient genetic partitioning-around-medoid algorithm for clustering

    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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  9. 9
    Chatbot development in data representation for diabetes education

    Chatbot development in data representation for diabetes education by Abbas Saliimi, Lokman

    Published 2011
    “…E-CARE contains two respective applications, 1) E-CARE multimedia content, and 2) SQL-based chatbot named ViDi (acronyms for Virtual Diabetes physician). …”
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  10. 10
    Mortality prediction in critically ill patients using machine learning score

    Mortality prediction in critically ill patients using machine learning score by Dzaharudin, Fatimah, Md Ralib, Azrina, Jamaludin, Ummu Kulthum, Mat Nor, Mohd Basri, Tumian, Afidalina, Har, Lim Chiew, Ceng, T C

    Published 2020
    “…The aim of this study is to develop a machine learning (ML) based algorithm to improve the prediction of patient mortality for Malaysian ICU and evaluate the algorithm to determine whether it improves mortality prediction relative to the Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment Score (SOFA) scores. …”
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  11. 11
    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan

    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan by Roslan, Muhammad Amirul

    Published 2025
    “…The project demonstrates the effectiveness of combining NLP and mobile technology through careful design and implementation. Future enhancements, such as advanced machine learning algorithms and user interface improvements, are proposed to further enhance functionality. …”
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  12. 12
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  13. 13
    Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques

    Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques by Pethuraj, Mohamed Shakeel, Mohd Aboobaider, Burhanuddin, Salahuddin, Lizawati

    Published 2022
    “…To attain the problem statement, an lung cancer identification system is developed with the help of a meta-heuristic algorithm. …”
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  14. 14
    DATA ANALYTICS FOR HOSPITAL OPERATIONS

    DATA ANALYTICS FOR HOSPITAL OPERATIONS by EL SAFTY, ABDULRAHMAN EHAB

    Published 2015
    “…This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. …”
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    Final Year Project
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  15. 15
    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi

    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

    Published 2025
    “…During the application's development, a wide literature review was conducted, users were interviewed and surveyed, and the developed application was iteratively built and redesigned. …”
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  16. 16
    Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat

    Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat by Selamat, Nur Syuhada

    Published 2021
    “…It also caused many protections are developed to fight the malware. The most common method of detecting malware relies on signature-based detection. …”
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  17. 17
    Separation of Heart Sounds & Lung Sounds using Independent Component Analysis

    Separation of Heart Sounds & Lung Sounds using Independent Component Analysis by B.HemaKumar, R.Anandanatarajan

    Published 2010
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    Working Paper
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  18. 18
    An Automated System For Classifying Conference Papers

    An Automated System For Classifying Conference Papers by Ngan, Seon Choon Han

    Published 2021
    “…The best classification model was then deployed to a web-based research conference system. The web-based system was developed using the Django web framework, based on a system architecture defined in this project called the Enhanced 3-Tier Web-based System with a Data Mining Layer. …”
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    Final Year Project / Dissertation / Thesis
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  19. 19
    A Web-Based Wound Information and Recovery Prediction System

    A Web-Based Wound Information and Recovery Prediction System by Ting, Chris Lik Yong

    Published 2020
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    Final Year Project Report / IMRAD
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  20. 20
    Prediction of Fetal Health Status Using Machine Learning

    Prediction of Fetal Health Status Using Machine Learning by Naidile S, Saragodu, Shreedhara N, Hegde, Harprith, Kaur

    Published 2024
    “…In this study, we present a machine learning-based strategy for predicting fetal diseases from clinical data. …”
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