UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 6
June-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2406473


Registration ID:
542972

Page Number

e559-e566

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Title

An Interactive Automated Collection and Processing of Multi-modal Health Signals Using Big Data Analytics

Abstract

Over the last five decades, information technology has advanced, and these developments are having an impact on society in all sectors that they are used, including as consumer electronics, business, healthcare, media, energy and power, and transportation. During human-technology interaction, a lot of information is immediately transferred between clients and service providers. Only substantial knowledge discovery can be used as the foundation for meaningful decision-making, understanding of the features of the collected data, performance requires accurate categorization of this large collection and effective analysis. Because its services have an impact on people's lives and a lack of service continuity might damage both the economy and people's quality of life, one important part of the infrastructure is the health care industry. The healthcare industry collects a lot of data from its patients in order to deliver health services, the information is utilized in conjunction with pharmaceutical and regulatory data, and organized into Electronic health records (EHRs). When services are provided and their effects on clients are measured afterwards, additional administering development is produced. The goal of this analysis is to develop an intelligent EHR platform that will gather and evaluate interactions between patients and doctors.

Key Words

Big Data (BD), Health Care Domain, Electronic Health Record (EHR)

Cite This Article

"An Interactive Automated Collection and Processing of Multi-modal Health Signals Using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.e559-e566, June-2024, Available :http://www.jetir.org/papers/JETIR2406473.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Interactive Automated Collection and Processing of Multi-modal Health Signals Using Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppe559-e566, June-2024, Available at : http://www.jetir.org/papers/JETIR2406473.pdf

Publication Details

Published Paper ID: JETIR2406473
Registration ID: 542972
Published In: Volume 11 | Issue 6 | Year June-2024
DOI (Digital Object Identifier):
Page No: e559-e566
Country: Kurnool, Andhra Pradesh , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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