可解释的乳腺癌诊断极端增强模型

Q2 Computer Science

International Journal of Electrical and Computer Engineering Pub Date : 2023-10-01 DOI:10.11591/ijece.v13i5.pp5764-5769

Tamilarasi Suresh, Tsehay Admassu Assegie, S. Ganesan, R. Tulasi, Radha Mothukuri, Ayodeji Olalekan Salau

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引用次数: 0

摘要

本研究探讨了极端增强(XGBoost)模型在乳腺癌诊断中的Shapley加性解释(SHAP)。这项研究使用了威斯康辛州的乳腺癌数据集，从一个乳腺细胞的图像中提取了30个特征。SHAP模块生成不同的解释器值，代表乳腺癌特征对乳腺癌诊断的影响。实验计算了569个乳腺癌数据集样本的SHAP值。SHAP解释表明，周边点和凹点对乳腺癌诊断的影响最大。SHAP解释XGB模型诊断结果，显示影响XGBoost模型的特征。所建立的XGB模型准确率达到98.42%。

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Explainable extreme boosting model for breast cancer diagnosis

This study investigates the Shapley additive explanation (SHAP) of the extreme boosting (XGBoost) model for breast cancer diagnosis. The study employed Wisconsin’s breast cancer dataset, characterized by 30 features extracted from an image of a breast cell. SHAP module generated different explainer values representing the impact of a breast cancer feature on breast cancer diagnosis. The experiment computed SHAP values of 569 samples of the breast cancer dataset. The SHAP explanation indicates perimeter and concave points have the highest impact on breast cancer diagnosis. SHAP explains the XGB model diagnosis outcome showing the features affecting the XGBoost model. The developed XGB model achieves an accuracy of 98.42%.

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来源期刊

International Journal of Electrical and Computer Engineering Computer Science-Computer Science (all)

CiteScore

4.10

自引率

0.00%

发文量

177

期刊介绍： International Journal of Electrical and Computer Engineering (IJECE) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: -Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; -Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; -Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; -Control[...] -Computer and Informatics[...]