Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature | Zendy

Ayush Singhal | Zendy; Michael A. Simmons | Zendy; Zhiyong Lu | Zendy

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Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature

Author(s) -

Ayush Singhal,

Michael A. Simmons,

Zhiyong Lu

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw041

Subject(s) - precision medicine , computer science , information retrieval , data science , data mining , computational biology , medicine , biology , pathology

Identifying disease-mutation relationships is a significant challenge in the advancement of precision medicine. The aim of this work is to design a tool that automates the extraction of disease-related mutations from biomedical text to advance database curation for the support of precision medicine.

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