Author:
Shabaz Mohammad,Garg Urvashi
Abstract
Purpose
The purpose of this paper is to predict future diseases based on existing health status using link prediction and explores how long the link survives.
Design/methodology/approach
The authors aimed to compare SULP with other approaches of link prediction especially DLS and try to find which one is better on parameters like AUROC and precision over disease–disease network data set. The implementation is done over MATLAB.
Findings
The authors have found that on the parameters such as AUROC and precision, SULP performs better. The AUROC value of SULP is 0.9805 and lies in between the standard value of 0.5 and 1 and precision value is 0.76.
Originality/value
The approach is novel and is applicable on almost every type of network model.
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
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