利用机器学习算法进行甲状腺疾病分类

S. Krishnaveni, E. Poojitha, M. Reddy, G. Harshith
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摘要

摘要: 甲状腺非常重要,因为它能帮助我们的身体正常运转。它通过向我们的血液中分泌特殊的荷尔蒙来控制身体如何使用能量。有时,甲状腺可能会出现激素分泌过多或过少的问题。这是因为碘不足、肿瘤肿胀或人体免疫系统攻击肿瘤。医生可以通过血液化验来诊断这些问题,但有时化验结果可能会令人困惑。利用特殊技术,医生可以让信息更容易被理解,并检测出一个人是如何出现甲状腺问题的。这种分析包括对甲状腺疾病分布模式的分析和基于加州大学洛杉矶分校机器学习资料库的数据。甲状腺疾病的检测涉及机器学习,它在检测甲状腺疾病方面发挥着重要作用。利用这项技术,医生可以更好地了解和治疗甲状腺疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thyroid Disease Classification Using Machine Learning Algorithms
Abstract: The thyroid is very important because it helps our body function properly. It does this by secreting special hormones into our bloodstream that control how our body uses energy. Sometimes there may be problems with the thyroid gland secreting too much or too little hormone. This is because not having enough iodine, swelling of the tumor, or the body's immune system attacking the tumor. Doctors can diagnose these problems with blood tests, but sometimes the results may be confusing. Using special technology, doctors can make information easier to understand and detect how a person may have thyroid problems. This analysis includes analysis of the distribution pattern of thyroid disease and data based on the UCI Machine Learning Repository. Detection of thyroid diseases involves machine learning, which plays an vital role in detecting thyroid disease. Using this technique,doctors can better understand and treat thyroid problems.
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