Skip to content
aiqbench takeAI Research

aiqbench analysis

This research proposes an adaptive modification of the ABC Literature-Based Discovery model to uncover latent connections between medical concepts within the Medline database. By leveraging a bridging topic (B) to link seemingly unrelated concepts (A and C), the study demonstrates a method for integrating domain knowledge into computational discovery frameworks. The work contributes to the field of Computation and Language by applying established LBD principles to specific biomedical domains.
Sources coveringarXiv, Wired, Quantum Zeitgeist, Cybersecurity News

Finding New Connections between Concepts from Medline Database Incorporating Domain Knowledge

arXiv2 min read

arXiv:2606.07530v1 Announce Type: new Abstract: In this digital world, data is everything and significantly impacts our everyday lives. Interestingly, in this small world, everything is part of an ecosystem, where everything is connected, directly or indirectly. The same thing happens to data as well. In most cases, it may seem like a particular topic does not have any connection with another one, but in reality, they are connected through a mutually related topic. Therefore, in this research, we will discuss an adaptive model modified from the ABC model by Don R. Swanson, a Literature-Based Discovery (LBD) Model, to find the hidden connections between Concepts of Interest. The model demonstrates that two topics, A and C are different and have no relationship. But they have a common topic, B that can be used to connect topics A and C This famous model will be used in this discussion to connect Medical Concepts.

Abstract:In this digital world, data is everything and significantly impacts our everyday lives. Interestingly, in this small world, everything is part of an ecosystem, where everything is connected, directly or indirectly. The same thing happens to data as well. In most cases, it may seem like a particular topic does not have any connection with another one, but in reality, they are connected through a mutually related topic. Therefore, in this research, we will discuss an adaptive model modified from the ABC model by Don R. Swanson, a Literature-Based Discovery (LBD) Model, to find the hidden connections between Concepts of Interest. The model demonstrates that two topics, A and C are different and have no relationship. But they have a common topic, B that can be used to connect topics A and C This famous model will be used in this discussion to connect Medical Concepts.

Computation and Language (cs.CL)

arXiv:2606.07530 [cs.CL]

(or arXiv:2606.07530v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2606.07530 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.5772/intechopen.113081 Focus to learn more DOI(s) linking to related resources

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 249 words

Related coverage