基于数据挖掘的癌症监测与预警关键技术研究

Zijun Wu
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引用次数: 0

摘要

在癌症诊断和治疗过程中,早期发现和准确判断至关重要。因此,建立有效的癌症预警系统意义重大。然而,大数据的到来为癌症监测和预警提供了新的机遇,数据挖掘技术作为一种重要的数据处理方法,正在癌症监测和预警领域得到广泛应用。笔者通过对大量医学影像和病历资料的分析,发现了一些潜在的危险因素,这些因素可以提高癌症的早期诊断率和治疗效果。此外,本文还比较了数据挖掘的研究现状和趋势,分析了基于数据挖掘的癌症监测和预警关键技术,并结合对各种方法的评价,总结了相关研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Key Technologies of Cancer Surveillance and Early Warning based on Data Mining
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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