@inproceedings{d634a0a8f55646e48d7172e601b8a63c,
title = "Deep transfer learning across cancer registries for information extraction from pathology reports",
abstract = "Automated text information extraction from cancer pathology reports is an active area of research to support national cancer surveillance. A well-known challenge is how to develop information extraction tools with robust performance across cancer registries. In this study we investigated whether transfer learning (TL) with a convolutional neural network (CNN) can facilitate cross-registry knowledge sharing. Specifically, we performed a series of experiments to determine whether a CNN trained with single-registry data is capable of transferring knowledge to another registry or whether developing a cross-registry knowledge database produces a more effective and generalizable model. Using data from two cancer registries and primary tumor site and topography as the information extraction task of interest, our study showed that TL results in 6.90% and 17.22% improvement of classification macro F-score over the baseline single-registry models. Detailed analysis illustrated that the observed improvement is evident in the low prevalence classes.",
keywords = "Convolutional neural network, Information extraction, NLP, Pathology reports, Transfer learning",
author = "Mohammed Alawad and Shang Gao and John Qiu and Noah Schaefferkoetter and Hinkle, {Jacob D.} and Yoon, {Hong Jun} and Christian, {J. Blair} and Wu, {Xiao Cheng} and Durbin, {Eric B.} and Jeong, {Jong Cheol} and Isaac Hands and David Rust and Georgia Tourassi",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 ; Conference date: 19-05-2019 Through 22-05-2019",
year = "2019",
month = may,
doi = "10.1109/BHI.2019.8834586",
language = "English",
series = "2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings",
}