Abstract
This research aims to develop a methodology that combines logical analysis of data with a white box model to predict the progression of chronic diseases. Such diseases represent a serious health problem, and accurate prediction and management are essential to improve patients’ quality of life. Current machine learning methods such as deep learning often have high accuracy, but their solutions are ‘black boxes’, making them difficult to understand. The research combines the best aspects of both methods to create more accurate and interpretable models for predicting the progression of chronic diseases. The methodology developed is expected to contribute to informative decision-making in medical practice, enrich knowledge in medical research and improve the quality of care for patients with chronic diseases.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
