An intelligent framework for health estimation with Naïve Bayes approach

机译：使用朴素贝叶斯方法进行健康评估的智能框架

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The medical examination is necessary to step to diagnose the health of the patients. The aim of the data mining here is to classify the patients and predict the health status of the patient. In this paper, we presented a semi-managed learning framework which forecasts the health behavior of the patient. There were various steps such as registration, data extraction, graph generation, risk prediction and prescription generation with the utilization of Naïve Bayes method. With this framework, individuals will acquire the personal precautionary measures before managing a disease.

机译：必须进行医学检查才能逐步诊断出患者的健康状况。此处数据挖掘的目的是对患者进行分类并预测患者的健康状况。在本文中，我们提出了一种预测患者健康行为的半管理式学习框架。利用朴素贝叶斯方法可以进行注册，数据提取，图形生成，风险预测和处方生成等各个步骤。在此框架下，个人将在控制疾病之前获得个人的预防措施。

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来源
《2017 International Conference on Inventive Computing and Informatics》|2017年|321-324|共4页
会议地点 Coimbatore(IN)
作者
Rahul Katarya;
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作者单位

Information Technology Department, Delhi Technological University, Delhi, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Data mining; Informatics; Recommender systems; Tools; Conferences; Twitter; Diseases;

机译：数据挖掘;信息学;推荐系统;工具;会议; Twitter;疾病;;

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An intelligent framework for health estimation with Naïve Bayes approach

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