一种用于检测恶性间皮瘤癌的数据挖掘技术,使用多重回归分析.
Abdulla Mousa Falah Alali1, Dhyaram Lakshmi Padmaja2, Mukesh Soni3
1Department of Computer Science, Isra University, Amman, Jordan.
Open life sciences
|November 13, 2023
概括
这项研究强调了机器学习在诊断恶性间皮瘤 (MM),一种肺癌的有效性. 支持矢量机 (SVM) 实现了99.87%的准确性,在MM检测方面表现优于神经网络.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 恶性间皮瘤 (MM) 是全球癌症死亡的一个重要原因.
- 由于无症状呈现和当前检测方法的局限性,MM的早期诊断具有挑战性.
- 识别MM风险因素和提高诊断准确性对于患者的治疗结果至关重要.
研究的目的:
- 调查数据挖掘和分类算法的实用性,用于诊断恶性间皮瘤.
- 为了比较支持矢量机 (SVM) 与多层感知子组合 (MLPE) 神经网络 (NN) 的性能,用于MM分类.
- 通过使用患者数据来确定MM诊断的高效计算方法.
主要方法:
- 利用了一组数据集,其中包含来自中瘤患者和健康个体的信息.
- 应用计算效率高的数据挖掘技术,特别是分类算法.
- 在5次运行中使用10倍交叉验证来评估模型性能.
- 进行SPSS分析以收集数据和实验验证.
主要成果:
- 支持矢量机 (SVM) 在分类MM方面表现出卓越的性能.
- SVM的分类准确率达到了99.87%.
- MLPE神经网络 (NN) 的分类准确率为99.56%,低于SVM.
结论:
- SVM是一种高效的分类方法,用于诊断恶性间皮瘤.
- 机器学习,特别是SVM,为MM检测提供了一个有希望和准确的方法.
- 这些发现表明,肺癌亚型的数据驱动型诊断工具可能会得到改进.
相关概念视频
01:25Statistical Methods for Analyzing Epidemiological Data
382
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
382
01:24Kaplan-Meier Approach
154
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
154
01:21Cancer Survival Analysis
357
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
357