Text Mining Algorithms for Cancer Diagnostics

被引：0
|
作者：
Fernandez, Natasia [1 ]
Anu, Vaibhav [1 ]
机构：
[1] Montclair State Univ, Dept Comp Sci, Montclair, NJ 07043 USA
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2021年
关键词：
D O I：
10.1109/BigData52589.2021.9671668
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, several text mining models have been developed for supporting the process of early and accurate cancer diagnosis. This study provides a comparative analysis of existing text mining algorithms for cancer diagnostics. This study will support researchers and practitioners when choosing the most accurate algorithm when diagnosing specific types of cancer.
引用
收藏
页码：5891 / 5893
页数：3
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