Drug Recommendations Using a Reviews and Sentiment Analysis by RNN

Author:

Sree Pokkuluri KiranORCID,Usha Devi N SSSNORCID,Chintalapati Phaneendra VarmaORCID,Babu Gurujukota RameshORCID,Raja Rao PBVORCID

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Pokkuluri, K.S., Nedunuri, S.U.D.: A novel cellular automata classifier for covid-19 prediction. J. Health Sci. 10(1), 34–38 (2020)

2. Zhang, W., et al.: DRI-RCNN: an approach to deceptive review identification using recurrent convolutional neural network. Inf. Process. Manage. 54(4), 576–592 (2018)

3. Sree, P.K., Babu, I.R.: Identification of protein coding regions in genomic DNA using unsupervised FMACA based pattern classifier. IJCSNS 8(1), 305 (2008)

4. Singh, R., Lanchantin, J., Sekhon, A., Qi, Y.: Attend and predict: understanding gene regulation by selective attention on chromatin. Adv. Neural Inf. Process. Syst. 30 (2017)

5. Pokkuluri, K.S., Nedunuri, S.U.D., Devi, U.: Crop disease prediction with Convolution Neural Network (CNN) augmented with cellular automata. Int. Arab J. Inf. Technol. 19(5), 765–773 (2022)

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1. 3D Convolutional Neural Networks for Predicting Protein Structure for Improved Drug Recommendation;EAI Endorsed Transactions on Pervasive Health and Technology;2024-04-08

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