16 citations · 17 across the 4 of their papers we have counts for
4 papers
Combining Breast Cancer Risk Prediction Models
Zoe Guan, Theodore Huang, Anne Marie McCarthy +6
Accurate risk stratification is key to reducing cancer morbidity through targeted screening and preventative interventions. Numerous breast cancer risk prediction models have been…
Semi-Automating Knowledge Base Construction for Cancer Genetics
Somin Wadhwa, Kanhua Yin, Kevin S. Hughes +1
In this work, we consider the exponentially growing subarea of genetics in cancer. The need to synthesize and centralize this evidence for dissemination has motivated a team of phy…
Ask2Me VarHarmonizer: A Python-Based Tool to Harmonize Variants from Cancer Genetic Testing Reports and Map them to the ClinVar Database
Yuxi Liu, Kanhua Yin, Basanta Lamichhane +18
PURPOSE: The popularity of germline genetic panel testing has led to a vast accumulation of variant-level data. Variant names are not always consistent across laboratories and not…
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…