Dynamic Recommendation: Disease Prediction and Prevention Using Recommender System

Mahdi Nasiri ¹ * , Behrouz Minaei ¹, Amir Kiani ²

Cited by CrossRef: 9

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2- Wang T, Tian Y, Qiu R. Long Short-Term Memory Recurrent Neural Networks for Multiple Diseases Risk Prediction by Leveraging Longitudinal Medical Records. IEEE J Biomed Health Inform. 2020;24(8):2337 [Crossref]

3- Granda Morales L, Valdiviezo-Diaz P, Reátegui R, Barba-Guaman L. Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation. J Med Internet Res. 2022;24(7):e37233 [Crossref]

4- Jain G, Mahara T, Sharma S, Verma O, Sharma T. Clustering-Based Recommendation System for Preliminary Disease Detection. 2022;13(4):1 [Crossref]

5- Rahimi M, Navimipour N, Hosseinzadeh M, Moattar M, Darwesh A. Cloud healthcare services: A comprehensive and systematic literature review. Trans Emerging Tel Tech. 2022;33(7) [Crossref]

6- Yue W, Wang Z, Zhang J, Liu X. An Overview of Recommendation Techniques and Their Applications in Healthcare. IEEE/CAA J Autom Sinica. 2021;8(4):701 [Crossref]

7- Chicaiza J, Valdiviezo-Diaz P. A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions. Information. 2021;12(6):232 [Crossref]

8- Wang T, Qiu R, Yu M, Zhang R. Directed disease networks to facilitate multiple-disease risk assessment modeling. Decision Support Systems. 2020;129:113171 [Crossref]

9- Tran T, Felfernig A, Trattner C, Holzinger A. Recommender systems in the healthcare domain: state-of-the-art and research issues. J Intell Inf Syst. 2021;57(1):171 [Crossref]

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