Ai-based disease prediction: a review
Ai-based disease prediction: a review
Abstract
Abstract.
Artificial intelligence (AI) advancements have enabled the development of innovative approaches for predicting and diagnosing diseases. This paper provides a comprehensive overview of the existing disease prediction methods based on AI. The review paper covers various AI techniques, including machine learning, deep learning, and hybrid models, that are used to predict a wide range of diseases.
Keywords: AI, ML, disease prediction, hybrid models
References
K. J. Devi, W. Alghamdi, N. Divya, A. Alkhayyat, A. Sayyora, and T. Sathish, ―Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction,‖ E3S Web Conf., vol. 399, pp. 1–10, 2023.
M. Arabboev et al., ―Analysis of mobile applications created to assess the risk of developing gestational diabetes mellitus,‖ Cent. Asian J. Math. Theory Comput. Sci., vol. 4, no. 11, pp. 39–49, 2023.
F. Tajdini and M.-J. Kheiri, ―Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges,‖ in 9th National Congresss of Electrical and Computer Engineering of Iran, 2023, pp. 1–12.
H. N. Elmahdy, ―Medical Diagnosis Enhancements Through Artificial Intelligence,‖ pp. 1–13, 2015.
K. Ramudu, V. M. Mohan, D. Jyothirmai, D. V. S. S. S. V. Prasad, R. Agrawal, and S. Boopathi, ―Machine learning and artificial intelligence in disease prediction: Applications, challenges, limitations, case studies, and future directions,‖ in Contemporary Applications of Data Fusion for Advanced Healthcare Informatics, no. August, 2023, pp. 297–318.
N. Ghaffar Nia, E. Kaplanoglu, and A. Nasab, ―Evaluation of Artificial Intelligence Techniques in Disease Diagnosis and Prediction,‖ Discov. Artif. Intell., vol. 3, pp. 124–144, 2023.
S. Tanwar, A. Kumari, D. Vekaria, N. Kumar, and R. Sharma, ―An AI-based disease detection and prevention scheme for COVID-19,‖ Comput. Electr. Eng., vol. 103, no. October 2022, p. 108352, 2022.
K. Gaurav, A. Kumar, P. Singh, A. Kumari, M. Kasar, and T. Suryawanshi, ―Human Disease Prediction using Machine Learning Techniques and Real-life Parameters,‖ Int. J. Eng. Trans. B Appl., vol. 36, no. 6, pp. 1092–1098, 2023.
S. Sreekumari, R. Bhalla, and G. Ganesan, ―A Comparative Study of Heart Disease Prediction using Machine Learning,‖ CEUR Workshop Proc., vol. 3635, pp. 54–65, 2023.
J. Rashid et al., ―An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction,‖ Front. Public Heal., vol. 10, no. March, pp. 1–20, 2022.
A. Ramesh, C. K. Subbaraya, and G. K. Ravi Kumar, ―AI based Dynamic Prediction Model for Mobile Health Application System,‖ Int. J. Adv. Comput. Sci. Appl., vol. 14, no. 1, pp. 356–365, 2023.
X. Yuan, J. Chen, K. Zhang, Y. Wu, and T. Yang, ―A Stable AI-Based Binary and Multiple Class Heart Disease Prediction Model for IoMT,‖ IEEE Trans. Ind. Informatics, vol. 18, no. 3, pp. 2032–2040, 2022.
P. Dutta, S. Paul, A. J. Obaid, S. Pal, and K. Mukhopadhyay, ―Feature Selection based Artificial Intelligence Techniques for the Prediction of COVID like Diseases,‖ J. Phys. Conf. Ser., vol. 1963, no. 1, 2021.
P. Rajendra and S. Latifi, ―Prediction of diabetes using logistic regression and ensemble techniques,‖ Comput. Methods Programs Biomed. Updat., vol. 1, p. 100032, 2021.