Generic Medicine Recommender System with Incorporated User Feedback
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-45882-8_5
Reference22 articles.
1. Abhishek, A., Bindal, A.K., Yadav, D.: Medicine recommender system: a machine learning approach. In: AIP Conference Proceedings, vol. 2576. AIP Publishing (2022)
2. Bhimavarapu, U., Chintalapudi, N., Battineni, G.: A fair and safe usage drug recommendation system in medical emergencies by a stacked ANN. Algorithms 15(6), 186 (2022)
3. Bhoi, S., Lee, M.L., Hsu, W., Fang, H.S.A., Tan, N.C.: Personalizing medication recommendation with a graph-based approach. ACM Trans. Inf. Syst. (TOIS) 40(3), 1–23 (2021)
4. Castellon, C., Roy, S., Kreidl, P., Dutta, A., Bölöni, L.: Energy efficient Merkle trees for blockchains. In: 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1093–1099. IEEE (2021)
5. Castellon, C.E., Roy, S., Kreidl, O.P., Dutta, A., Bölöni, L.: Towards an energy-efficient hash-based message authentication code (HMAC). In: 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), pp. 1–7. IEEE (2022)
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