How to Empower Disease Diagnosis in a Medical Education System Using Knowledge Graph

Disease diagnosis is an important function in a medical training system, an integrated system which is aimed at providing the necessary skills and know-how to health practitioners. As one of the most vital features of a medical training system, many researchers and industry alike have channelled time and resources to engage several techniques and practices in a bid to find a way to accurately predict diseases with minimal margin of error. This has motivated several variations in feature selection, data representations and techniques in machine learning. In this paper, we explore some of these variations with prime focus on how knowledge graphs have helped address issues like insufficient data and interpretation to help empower the construction of a disease diagnosis feature in a medical training systems.

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