使用机器学习的预测性糖尿病诊断

Kadireddy Sivaprasad Reddy, Dr. J. Sreenivasan
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摘要

有一些人工智能程序被用来对不同领域的大量信息进行先见之明的调查。在医疗服务中,预见性检查是一项艰巨的任务,在一天结束时,它可以帮助专家获得关于理解健康和治疗的大量信息,方便的结论。本文考察了医疗服务中的预见性检验,在这项探索工作中使用了六种不同的人工智能计算。出于尝试的原因,我们得到了一个病人的临床记录数据集,并在数据集上应用了六种不同的人工智能计算。检查和思考应用计算的执行和准确性。对本研究中使用的不同人工智能策略的检查揭示了哪种计算方法最适合预测糖尿病。本文希望能够帮助专家和专业人员利用人工智能程序进行糖尿病的早期预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Diabets Diagnosis using Machine Learning
There are a few AI procedures that are utilized to perform prescient investigation over enormous information in different fields. Prescient examination in medical services is a difficult errand at the end of the day can assist specialists with arriving at huge information informed convenient conclusions about understanding's wellbeing and therapy. This paper examines the prescient examination in medical services, six different AI calculations are utilized in this exploration work. For try reason, a dataset of patient's clinical record is gotten and six different AI calculations are applied on the dataset. Execution and exactness of the applied calculations is examined and thought about. Examination of the different AI strategies utilized in this study uncovers which calculation is the most ideal for forecast of diabetes. This paper expects to help specialists and professionals in early forecast of diabetes utilizing AI procedures.
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