Similar Disease Prediction With Heterogeneous Disease Information Networks
Abstract
Studying the similarity of diseases can help us to explore the pathological characteristics of complex diseases, and help provide reliable reference information for inferring the relationship between new diseases and known diseases, so as to develop effective treatment plans. To obtain the similarity of the disease, most previous methods either use a single similarity metric such as semantic score, functional score from single data source, or...
Paper Details
Title
Similar Disease Prediction With Heterogeneous Disease Information Networks
Published Date
Jul 1, 2020
Volume
19
Issue
3
Pages
571 - 578
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