2型糖尿病预测软件的机器学习方法

Shubham Mishra, Vinod A, Kala S
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引用次数: 0

摘要

糖尿病是影响我们健康的常见疾病之一,它会导致血液中的葡萄糖水平过高。糖尿病会影响我们身体各个部位的功能,包括心脏、肾脏、眼睛和神经。糖尿病的诊断是通过检查血糖水平来进行的,如果及早发现,控制就容易得多。医疗保健领域的预测是一项具有挑战性的任务,因为需要根据预测结果及时采取预防措施和决策,以便对患者进行治疗。在这里,预测算法的性能和准确性起着至关重要的作用。机器学习是一个热门的研究领域,在医疗领域和远程医疗中有着巨大的应用。本文分析了6种预测2型糖尿病的机器学习算法,并通过实验选择了准确率最高的算法。我们还开发了一个预测软件(预测应用程序),有助于在早期阶段预测2型糖尿病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Approaches for Type-2 Diabetes Software Predictor
Diabetes is one of the common diseases that affect our health, which results in high glucose level in blood. Diabetes can affect the functioning of various parts of our body including heart, kidney, eyes and nerves. Diagnosis of diabetes is performed by checking the blood sugar level and if detected earlier, controlling will be much easier. Prediction in healthcare field is a challenging task, since timely precautions and decisions are to be taken based on the predicted result, for treatment of the patient. Here, performance and accuracy of the predictive algorithms play a vital role. Machine learning is a popular research area, which finds immense application in medical field and remote healthcare. In this paper we analyze six machine learning algorithms for predicting type-2 diabetes mellitus and perform experiments to choose the algorithm, which gives best accuracy compared to others. We also develop a prediction software (prediction application) which facilitates prediction of type-2 diabetes mellitus, at a very early stage.
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