Open AccessData mining-based model and risk prediction of colorectal cancer by using secondary health data: A systematic review
Author(s) -
Hailun Liang,
Lei Yang,
Lei Tao,
Leiyu Shi,
Wuyang Yang,
Jiawei Bai,
Dong-Hui Zheng,
Ning Wang,
Jiafu Ji
Publication year - 2020
Publication title -
chinese journal of cancer research/chinese journal of cancer research
Language(s) - English
Resource type - Journals
eISSN - 1993-0631
pISSN - 1000-9604
DOI - 10.21147/j.issn.1000-9604.2020.02.11
Subject(s) - medicine , checklist , systematic review , data mining , interquartile range , colorectal cancer , machine learning , medline , artificial intelligence , computer science , cancer , psychology , political science , law , cognitive psychology
Prevention and early detection of colorectal cancer (CRC) can increase the chances of successful treatment and reduce burden. Various data mining technologies have been utilized to strengthen the early detection of CRC in primary care. Evidence synthesis on the model's effectiveness is scant. This systematic review synthesizes studies that examine the effect of data mining on improving risk prediction of CRC.