@inproceedings{8d1c0a7f584349f48a7c3515fc442670,
title = "Understanding medical text related to breast cancer: A review",
abstract = "Breast Cancer is a harmful disease that has caused millions of women deaths. There are a huge number of publications on breast cancer research which offers a good source of information. Identifying breast cancer biomarkers is not a trivial task. There are many approaches used to identify and extract the needed information more efficiently from structured/unstructured text, uncover relationships and hidden rules from the huge amount of information such as text mining, machine learning and data mining. This paper reviews some of research literature on breast cancer using these approaches.",
keywords = "Breast cancer, Data mining, NLP, Text mining",
author = "Noha Ali and Eslam Amer and Hala Zayed",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 3rd International Conference on Advanced Intelligent Systems and Informatics, AISI 2017 ; Conference date: 09-09-2017 Through 11-09-2017",
year = "2017",
month = aug,
day = "31",
doi = "10.1007/978-3-319-64861-3_26",
language = "English",
isbn = "9783319648606",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "280--288",
editor = "Tolba, {Mohamed F.} and Tarek Gaber and Khaled Shaalan and Hassanien, {Aboul Ella}",
booktitle = "Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017",
}