Research Article
The similarity between Disease and Drug Network in Link Prediction
@ARTICLE{10.4108/eetmca.v7i2.2667, author={Muhammad Azam and Muhammad Nouman}, title={The similarity between Disease and Drug Network in Link Prediction}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={7}, number={2}, publisher={EAI}, journal_a={MCA}, year={2022}, month={9}, keywords={Social Network Analysis, Link Prediction, Disease, Drug networks}, doi={10.4108/eetmca.v7i2.2667} }
- Muhammad Azam
Muhammad Nouman
Year: 2022
The similarity between Disease and Drug Network in Link Prediction
MCA
EAI
DOI: 10.4108/eetmca.v7i2.2667
Abstract
Nowadays, data records are being transferred entirely to digital platforms, and data have become embodied and measurable. In this study, to observe the relationship between disease and drug, we first constructed disease and drug networks. These networks consist of a disease diagnosis and drugs written by doctors. After the disease and drug networks were generated, a link prediction was done concerning similarity values between nodes. Experimental results show that the proposed method finds satisfactory results. By examining these constructions and connections it is feasible to achieve affinities, similitudes, and patterns and it is likewise conceivable to make it feasible to achieve.
Copyright © 2022 Muhammad Azam et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.