开发一种基于数据挖掘的糖尿病及疾病有效预测模型

Shreyansh Balhara
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引用次数: 0

摘要

这种从信息中恢复有用数据和模型的模型被称为KDD(数据库的知识发现),它包括信息查找、分组和变更审查等具体步骤。人工智能分析被称为管理和独立。监督学习分析使用洞察力来预测新的或不可见的信息,尽管独立的措施可以从信息集群中得出阻抗。监督学习也被描述为安排。本综述使用聚类方法来提供更精确的类区域。已将聚类分析应用于国家糖尿病、胃相关疾病和肾脏疾病研究所PIMA的印度糖尿病数据集,其中包含关于糖尿病妇女的信息
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEVELOPING A DATA MINING BASED EFFICACIOUS PREDICTION MODEL OF DIABETICS AND AILED AILMENTS
This model of recovering useful data and models from the information is called KDD (Knowledge Discovery of Database), which includes specific steps like information finding, grouping and change review. AI analyses are called managed and independently. A supervised learning analysis uses insight to predict new or unseeable information, though unaided measures can draw impedances from informative clusters. Supervised learning is additionally described as arrangement. This review uses clustering methods to deliver a more precise area with the class. The clustering analyses have been applied to the Indian Diabetes Data-set of the PIMA of the National Institute of Diabetes, Stomach related and kidney diseases which contains information on diabetic women
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