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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Data Science Applications In Health Care Data Transmission |
| Authors Name: | Nalam Sai Rama Mohan , Vamsi , Aravind |
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| Author Reg. ID: |
IJRTI_189714
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| Published Paper Id: | IJRTI2404111 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The studies and surveys that are already in existence in the field of data analysis have found that there is very complicated and undisturbed correlation between the daily human incidental movements and the identification of the health conditions. The smart health system has been the field of the interest within the researchers and analysts for such a long period of time. Health conditions are so complicated to predict because of their higher volatile and unpredictable nature which is completely dependent on the factors like ever changing health conditions of different people in different places of the world and so on. Predicting the health conditions depending up on the data that is already gathered which is named as the health information alone has become not so sufficient to predict the ups and downs of the health conditions. Numerous analyses regarding the health conditions studies have been conducted in order to attain the accuracy by utilizing many algorithms like naïve bayes regression, data analytics and also the deep learning. In this research paper, we have tried to accelerate the rate of accuracy of the smart health care systems by collecting huge amount of time series data and for the sake of analyzing the data with the help of data analytics models to predict the of health conditions. The amount of the verbal data that is available and analyzed during few surveys and studies were considered to be insufficient and as a result the health care systems that are with low accuracy rates were observed. The accuracy of the models that run with the help of the data analytics methods are completely dependent on the amount of information provided for the sake of the training. |
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| Cite Article: | "Data Science Applications In Health Care Data Transmission ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.802 - 806, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404111.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2404111
Registration ID:189714
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 802 - 806 Country: Guntur, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404111 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404111 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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