The similarity between Disease and Drug Network in Link Prediction

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.

A systematic review of non-functional requirements mapping into architectural styles

“…Both software requirements and software architectures are fundamental activities that play an important role in all other SDLC stages [4]. Software requirements are the baseline requirements that guide the evolution of software under construction throughout the SDLC [5]. The system architecture is the overall structure of the system, and it indicates the fulfillment of the main system features and quality attributes.…”