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arXiv · 2606.07540

Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques

Weikang Yang·S M Mazharul Hoque Chowdhury·Wei Jin
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Abstract

Text is one of the most common ways to store data in this computerized world. At a glance, it may seem that those data are not interconnected. But in reality, data can have hidden connections. Therefore, in this research, a new model has been presented that can find hidden relationships between two medical concepts by using MetaMap and appropriate text-mining techniques. Specifically, the model creates a new comprehensive index structure and can find cross-document hidden links connecting topics of interest that most existing approaches have ignored. Experiments show the effectiveness of the proposed model in discovering new connections between topics.

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Weikang Yang, S M Mazharul Hoque Chowdhury, Wei Jin. 2026-04-30. Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques. https://doi.org/10.1007/978-3-031-22064-7_4

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