Prediction of Human Health using Machine Learning and Big Data

被引：0

作者：

Fahad, P. K. ^{[1
]}

Pallavi, M. S. ^{[1
]}

机构：

[1] Amrita Vishwa Vidyapeetham, Amrita Sch Arts & Sci, Dept Comp Sci, Mysuru Campus, Mysuru, Karnataka, India

来源：

PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP) | 2018年

关键词：

Neural network; Prediction; Structured data; Unstructured data; CNN-based Algorithm; CNN-UDRP Algorithm;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

As now a days there are lot many software that are related to the bio-informatics and the acquisition of the data is very much easy. The improvement in the field of biology is very drastic that the data is even stored in various places. The paper discusses about the prediction health of the patients using various parameters that are given by the users. We are using various algorithms that were already available in order to achieve it. One of the major algorithm is the back propagation algorithm where the predicted rate of the software increases every time we use the software. There are already software's available, but the reliability and the feasibility of the software is very low comparatively. In this paper, we are discussing about two types of datasets that are structured and unstructured. Both of the types of data sets are accepted in the project.

引用

页码：195 / 199

页数：5

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