Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

Show other versions (1)

© 2019 by American Society of Clinical Oncology PURPOSE The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools that help to monitor and prioritize the literature to understand the clinical implications of pathogenic genetic variants. We developed and eva...

Full description

Bibliographic Details
Main Authors: Bao, Yujia, Deng, Zhengyi, Wang, Yan, Kim, Heeyoon, Armengol, Victor Diego, Acevedo, Francisco, Ouardaoui, Nofal, Wang, Cathy, Parmigiani, Giovanni, Barzilay, Regina, Braun, Danielle, Hughes, Kevin S
Format: Article
Language:English
Published: American Society of Clinical Oncology (ASCO) 2021
Online Access:https://hdl.handle.net/1721.1/136447

Internet

https://hdl.handle.net/1721.1/136447

Similar Items