用预测算法分析糖尿病——文献综述

A. U. Nandhini, K. Dharmarajan
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摘要

. 医疗保健技术的巨大发展包含大量的数据。为了获取海量数据,我们正在使用大数据分析。糖尿病是导致死亡和经济发展的主要疾病。在医疗保健行业,医生根据病人的病史和血糖水平的测量给病人开处方。预测算法有助于早期分析、发现和预测疾病。它可以帮助医生诊断疾病,并对病人进行治疗。本文的主旨是研究利用预测分析算法对糖尿病疾病进行准确预测。原因有家庭遗传和环境因素。家族史显示近亲患糖尿病的风险较高。该分类可用于准确预测糖尿病的预后。分析任务的主旨是理解用于预测糖尿病患者的预测算法的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review
. An enormous development of Technology growth of healthcare contains plenty number of data. To access a massive data, we are using Big Data Analytics. Diabetes is a leading disease and causes a death & economic development. In healthcare industries doctor prescribed medicine to the patient based on patient medical history and measurement of sugar level. Predictive algorithm helps to analysis, detect and predict disease at early period. It helps doctor to diagnosis disease and gives treatment to the patient respectively. The moto of the paper to research the diabetes prediction with help of Predictive analysis algorithm to predict the diabetes disease accurately. causes due to family heredity and environment factors. The family history shows a higher risk of diabetes in close family members. The classification is used to predict the diabetes results in accurate manner. The moto of analysis tasks were to understand the concepts of Predictive algorithm which is used to anticipate diabetics.
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