mca 22(2): e5

Research Article

The similarity between Disease and Drug Network in Link Prediction

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  • @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
Muhammad Azam1,*, Muhammad Nouman2
  • 1: University of Missouri
  • 2: University of Agriculture Faisalabad
*Contact email: Writetoazamkhalid@gmail.com

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.