Study on Key Technologies of Cancer Surveillance and Early Warning based on Data Mining

Zijun Wu

doi:10.54097/ijbls.v3i3.09

Authors

Zijun Wu

DOI:

https://doi.org/10.54097/ijbls.v3i3.09

Keywords:

Data Mining, Cancer, Surveillance, Early Warning, Algorithm

Abstract

Early detection and accurate judgment are crucial during cancer diagnosis and treatment. Hence, it is of great significance to establish an effective cancer early warning system. However, the arrival of big data provides new opportunities for cancer surveillance and early warning, and data mining technology, as an important data processing method, is being widely used in the field of cancer surveillance and early warning. By analyzing a large number of medical images and medical records, the author identifies some potential risk factors which can improve the early diagnosis rate and treatment effect. Moreover, this paper compares the current status and trends of research on data mining, analyzes the key technologies of cancer surveillance and early warning based on data mining, and summarizes the related research results with the evaluation of each method.

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