用Bayes定理方法鉴定黑色素瘤的系统

Nopi Purnomo, None Riko Muhammad Suri, None Devi Yuliana, None M. Rasyid
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摘要

黑色素瘤是一种由于黑色素细胞异常生长而发生的皮肤癌,黑色素细胞是皮肤中可以产生色素的细胞。黑色素瘤是最恶性的皮肤癌之一,很容易扩散到人体的其他器官,如肺和大脑。黑色素瘤皮肤病诊断专家系统是一个基于计算机的基于动态知识库的黑色素瘤皮肤病诊断工具。本研究的目的是建立一个能够识别黑色素瘤皮肤病的专家系统。在基于专家知识或经验的诊断过程中,利用贝叶斯定理方法建立的专家系统。本研究结果提出了一个能够快速、准确、准确地诊断黑色素瘤皮肤病的专家系统。这些结果在一个系统中以网站的形式呈现,使用PHP编程和MySQL数据库。总的来说,这个专家系统可以帮助患者或公众从症状上清楚地了解黑色素瘤皮肤病,并提供处理它的解决方案。
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Sistem Pakar Identifikasi Penyakit Kulit Melanoma dengan Metode Teorema Bayes
Melanoma is a skin cancer disease that occurs due to abnormal growth of melanocytes, which are cells that can produce pigment in the skin. Melanoma is one of the most vicious skin cancers and can easily spread to other organs in the human body, such as the lungs and brain. This expert system for diagnosing melanoma skin disease is a computer-based system that is used as a tool for diagnosing melanoma skin disease based on a dynamic knowledge base. The purpose of this research is to build an expert system that can identify Melanoma Skin Disease. An expert system built using the Bayes theorem method in a diagnostic process based on expert knowledge or experience. The results of this study present an expert system capable of diagnosing melanoma skin disease quickly, precisely and accurately. These results are presented in a system built in the form of a website using PHP programming with a MySQL database. Overall this expert system can be useful for patients or the general public to be able to know clearly about melanoma skin disease from the symptoms and can provide solutions in handling it.
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