10th International Congress on Information and Communication Technology

Authors - Jiahui Yu, Simon Fong, Jinan Fiaidhi, Sabah Mohammed, Richard Millham, Alexandre Lobo, Seon-Phil Jeong, Liansheng Liu
Abstract - . Clinical pathways play a vital role in managing diabetes treatment, incorporating medical strategies customized to individual patient needs. In the case of insulin-dependent diabetes mellitus (IDDM), accurately determining insulin dosage and administration timing is essential for regulating blood glucose levels effectively. While general health guidelines exist, they lack personalization. The interactions between medication, lifestyle, and patient conditions are complex, with therapy patterns differing among patients. This paper introduces a combined data stream mining method with fuzzy rule generation to create realtime decision guidelines as clinical pathways for managing IDDM. These guidelines are derived from daily medication records and personal blood glucose trends, generated from continuously updated health data instead of relying on past records. Fuzzy rules are preferred for their ability to personalize treatment, handle complex interactions, adapt in real-time, and provide accurate, timely decisions. They allow for personalization by adapting to individual patient conditions, providing tailored insulin dosages and timings based on real-time data. This method effectively manages the complex interactions between medication, lifestyle, and patient conditions, which can vary greatly among patients. Additionally, fuzzy rules are generated from continuously updated health patterns, ensuring that decision-making reflects the current state of the patient's health rather than relying on outdated historical data. This flexibility accommodates fluctuations in glucose levels due to various factors, making the approach more responsive to both short-term and long-term medical effects. Ultimately, using fresh data leads to more accurate and timely decisions, crucial for maintaining appropriate blood glucose levels in IDDM patients. A computer-based simulation is provided to assess the most appropriate data stream algorithms for this task.