基于安卓的乳腺癌筛查应用程序与确定性因子法

Suprapto, Kenty W. Anita
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引用次数: 0

摘要

根据 Globocan 的记录,2020 年印尼新增癌症病例 396 314 例。死亡人数为 234 511 人。妇女是癌症高发人群。如果能在早期发现癌症,治愈的几率将提高到 80-90%。癌症的早期发现可通过多种方法进行,例如,对于乳腺癌,可通过 SADANIS(临床乳房检查)和 SADARI(自我乳房检查)方法进行检查。本研究将开发一个移动应用程序,作为独立进行早期癌症检测的指南。该早期检测系统采用了基于 Android 的专家系统和确定性因素法。本研究以乳腺癌为案例。根据以专家诊断为参考的准确度测试结果,准确度值为 90%。该专家系统的不准确度为 10%,其原因可能有几种,即专家在提供疾病症状置信度值时的主观性或输入的症状数量较少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breast Cancer Screening Application Based on Android with the Certainty Factor Method
According to Globocan records, in Indonesia in 2020 there were 396.314 new cancer cases. And 234.511 people were declared dead. Women are a group with a high risk of developing cancer. If cancer is detected at an early stage, this can increase the chance of cure to 80-90%. Early detection of cancer can be done using several methods, for example, for breast cancer, the method of checking can be using the SADANIS (Clinical Breast Examination) and SADARI (Self Breast Examination) methods. In this research, a mobile application will be developed that can be used as a guide in carrying out early cancer detection independently. The early detection system uses an Android-based expert system and certainty factor method. The case study in this research is on breast cancer. Based on the results of accuracy testing with expert diagnosis as a reference, an accuracy value of 90% was obtained. The inaccuracy of this expert system is 10% which can be caused by several possibilities, namely the expert's subjectivity in providing confidence values for disease symptoms or the small number of symptoms entered.
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