Multi feature drug compound analysis model for efficient success rate prediction using fuzzy rules
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02275-6.pdf
Reference22 articles.
1. Bosc N, Atkinson, F, Felix E, Gaulton A, Hersey A, Leach A (2019) Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery. J Cheminform 11:4
2. Cattano D, Lam NC, Ferrario L, Seitan C, Vahdat K, Wilcox DW, Hagberg CA (2012) Dexmedetomidine versus Remifentanil for Sedation during Awake Fiberoptic Intubation. Anesthesiol Res Pract 2012:1–7
3. Gayvert KM, Madhukar NS, Elemento O (2016) A data-driven approach to predicting successes and failures of clinical trials. Cell Chem Biol 23(10):1294–1301
4. Harimoorthy K, Thangavelu M (2020) Multi-disease prediction model using improved SVM-radial bias technique in healthcare monitoring system. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-019-01652-0
5. Hu Q, Feng M, Lai L, Pei J (2018) Prediction of drug-likeness using deep autoencoder neural networks. Front Genet 9:585
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