arXiv Open Access 2023

BioBERT Based SNP-traits Associations Extraction from Biomedical Literature

Mohammad Dehghani Behrouz Bokharaeian Zahra Yazdanparast

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Abstrak

Scientific literature contains a considerable amount of information that provides an excellent opportunity for developing text mining methods to extract biomedical relationships. An important type of information is the relationship between singular nucleotide polymorphisms (SNP) and traits. In this paper, we present a BioBERT-GRU method to identify SNP- traits associations. Based on the evaluation of our method on the SNPPhenA dataset, it is concluded that this new method performs better than previous machine learning and deep learning based methods. BioBERT-GRU achieved the result a precision of 0.883, recall of 0.882 and F1-score of 0.881.

Topik & Kata Kunci

cs.CL

Penulis (3)

Mohammad Dehghani

Behrouz Bokharaeian

Zahra Yazdanparast

Format Sitasi

APA MLA BibTeX

Dehghani, M., Bokharaeian, B., Yazdanparast, Z. (2023). BioBERT Based SNP-traits Associations Extraction from Biomedical Literature. https://arxiv.org/abs/2308.02569

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓