The Use of Artificial Intelligence in Literature Search and Selection of the PubMed Database

Figure 1

The work flow of the NKAS method. Keyword search is automated, and then, the results are analyzed by NLP, where a set of candidate keywords are recommended for revised search. The final search results are then processed by the general and special removers, which are supported by the NLP functionalities and knowledge graph. The knowledge graph, currently supporting medical abbreviations and disease/drug relations, can be generated automatically from the NLP process.