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IJSTR >> Volume 10 - Issue 6, June 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Impact Of Big Data For Customized Treatment In Healthcare

[Full Text]

 

AUTHOR(S)

Altaf Hussain Abro, Saria Abbasi

 

KEYWORDS

Big Data, Machine Learning, Convolutional Neural Network (CNN), Healthcare, impact of big data.

 

ABSTRACT

A linear pattern is one in which the number of items decreases or increases over time. This data appears as a straight line angled diagonally up or down on a graph (the angle may be steep or shallow). As a result, the trend may be either upward or downward. These techniques or patterns are being used to collect the data of the articles. Making use of the Annotated Bibliography it has been discovered that various patterns and different Big Data algorithms that are being used in healthcare to predict the disease and then give the medicine according to that data collected for the disease. Some gaps have been identified in the literature review; the central gap was that there was no Convolutional Neural Network (CNN) in the articles. This is the most updated technique that is being used to recognize the disease based on images. For example, if we have the data of ten thousand x-rays. We have put that all the data in the system and then perform different algorithms. Our prediction system will predict that on behalf of this x-ray, what is the disease to this person.Various steps or techniques can be used to expand the current annotated bibliography into more extended literature. CNN technique can be used to identify the patients' disease on behalf of x-rays or any image. To implement this, we need to collect public data; we will be using public data because it is verified data. We will require around ten thousand+ datasets, and then we have to perform different algorithms so that our prediction system will work accurately. These are the steps that needed to be taken to expand the current annotated bibliography.

 

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