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

16 citations · 16 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2019★ 16 cited

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

Yujia Bao, Zhengyi Deng, Yan Wang +9

PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools monitoring and prioritizing the literature to understand the clinical…