Drug Recommendations Using Support Vector Machine
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4928-7_13
Reference13 articles.
1. Ye Q, Hsieh CY, Yang Z, Kang Y, Chen J, Cao D, Hou T (2021) A unified drug–target interaction prediction framework based on knowledge graph and recommendation system. Nat Commun 12(1):6775
2. Abbas K, Afaq M, Khan TA, Song W-C (2020) A blockchain and machine learning-based drug supply chain management and recommendation system for smart pharmaceutical industry. Electronics 9(5):852
3. Begum SG, Sree PK (2023) Drug recommendations using a “reviews and sentiment analysis” by a recurrent neural network. Indonesian J Multidisc Sci 2(9):3085–3094
4. Pokkuluri KS, Usha DN (2021) A secure cellular automata integrated deep learning mechanism for health informatics. Int Arab J Inf Technol 18(6):782–788
5. Azuma I, Mizuno T, Kusuhara H (2023) NRBdMF: a recommendation algorithm for predicting drug effects considering directionality. J Chem Inf Model 63(2):474–483
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