Preliminary Study on the Construction and Application of Proactive Healthcare Knowledge Graph for the Elderly Population in Community Setting

Corresponding author: Zhu Rui, zhurui08@hotmail.com

DOI: 10.12201/bmr.202303.00038

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  Abstract: Purpose In order to enhance the artificial intelligence applications and improve healthcare algorithms, a knowledge graph management system integrated with preventive and rehabilitation knowledge was constructed to improve healthcare services availability and acceptability. Methods Based on natural language processing algorithms and the manual annotation from medical experts, a knowledge graph for geriatrics was built, which is performed by Med-BERT + BiLSTM + CRF combination algorithm; An intelligent question answering system was established based on the knowledge graph through KBQA. Conclusion The quality of the newly designed knowledge graph has reached the expectation. At the same time, the question-and-answer system based on knowledge graph is built, which provides an interactive and friendly way of knowledge acquisition for elderly users through KBQA.

  Key words: Geriatrics; Proactive Health; Knowledge Graph; Question Answering System

  Submit time: 27 March 2023

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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