Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing
Kyeryoung Lee
1
* , PhD ;
Zongzhi Liu
1
* , PhD ;
Urmila Chandran
2
, PhD ;
Iftekhar Kalsekar
2
, PhD ;
Balaji Laxmanan
2
, MD ;
Mitchell K Higashi
1
, PhD ;
Tomi Jun
1
, MD ;
Meng Ma
1
, PhD ;
Minghao Li
1
, MSc ;
Yun Mai
1
, PhD ;
Christopher Gilman
1
, BSc ;
Tongyu Wang
1
, BSc ;
Lei Ai
1
, PhD ;
Parag Aggarwal
1
, PhD ;
Qi Pan
1
, PhD ;
William Oh
3
, MD ;
Gustavo Stolovitzky
1
, PhD ;
Eric Schadt
3
, PhD ;
Xiaoyan Wang
1
, PhD
1
Sema4, Stamford, CT, United States
2
Lung Cancer Initiative, Johnson & Johnson, New Brunswick, NJ, United States
3
Icahn School of Medicine at Mount Sinai, New York, NY, United States
*these authors contributed equally