Intelligent Application to Detect Heart Disease Issues and Treatment
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Abstract
Intelligent Application to Detect Heart Disease Issues and Treatment. It might have happened so many times that you or someone yours need doctors help immediately, but they are not available due to some reason. Intelligent application for detection heart rate disease is an end user support provide an online/offline consultation. Here, we propose an application that allows users to get instant guidance on their heart disease through an intelligent system. The application is fed with various details and the heart disease associated with those details. The application allows user to share their heart related issues. It then processes user specific details to check for various illness that could be associated with it. Here we use some intelligent data mining techniques to guess the most accurate illness that could be associated with patient’s details. Based on result, the can contact doctor accordingly for further treatment. The system allows user to view doctor’s details too. The system can be used for free heart disease consulting online or offline.
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References
Ahmed, A., Ali, A., & Dauwed, M. (2022). Development of a Hybrid Mobile App for Student Management System. Journal of Advanced Sciences and Nanotechnology, 1(1), 1–6.
Witten, I. H., & Frank, E. (2002). Data mining: practical machine learning tools and techniques with Java implementations. Acm Sigmod Record, 31(1), 76–77.
Abdallah Abdallah Mohammed Dauwed, A. A. A. B. F. F. I. K. B. J. C. (2022). An Optimal Method for Supply Chain Logistics Management Based on Neural Network. Computers, Materials & Continua, 73(2), 4311–4327. https://doi.org/10.32604/cmc.2022.031514
Omar, S., Radzani, M., Yasin, M., & Dauwed, M. (2018). Validity and Reliability Questionnaire for Social, Environment and Self-Efficacy Related of Deaf Adolescents Physical Activity. Journal of Theoretical and Applied Information Technology, 96(21).
Shrestha, A., & Mahmood, A. (2019). Review of deep learning algorithms and architectures. IEEE access, 7, 53040–53065.
Jarrar, M., Al-bsheish, M., Aldhmadi, B. K., Albaker, W., & Meri, A. (2021). Effect of Practice Environment on Nurse Reported Quality and Patient Safety?: The Mediation Role of Person-Centeredness, 1–17.
Meri, A., Hasan, M. K., & Satar, N. S. M. (2017). Towards Utilizing Cloud Health Information Systems: A Proposed Model. Journal of Engineering and Applied Sciences, 12(8), 1–11. https://doi.org/10.3923/jeasci.2017.8397.8408