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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | A Comprehensive Review of AI and Big Data Applications in India’s Vital Statistics for Public Health |
| Authors Name: | Mahima , Neha Kumari |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200059
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| Published Paper Id: | IJRTI2412039 |
| Published In: | Volume 9 Issue 12, December-2024 |
| DOI: | |
| Abstract: | The transformative potential of artificial intelligence (AI) and big data, particularly in the field of public health, is reviewed in this paper as it relates to improving vital statistics in India. Artificial Intelligence (AI) technologies, like natural language processing and predictive analytics, greatly improve diagnostic precision and streamline health data analysis. Big Data analytics also makes predictive modeling and real-time monitoring possible, which raises the caliber and granularity of health data. Large-scale health datasets can be successfully managed by AI, as demonstrated by global case studies. This approach can be modified for the Indian context to fill in data gaps, particularly in underprivileged areas. Nonetheless, ethical considerations about data privacy and transparency continue to be essential for upholding public confidence. This paper explores these developments and obstacles, providing suggestions for combining AI and Big Data to improve data completeness, timeliness, and accuracy in India's public health system, supporting evidence- based policymaking. This review paper examines how artificial intelligence (AI) and big data can improve official statistics' scope, timeliness, and accuracy, especially regarding public health and vital statistics in India. Data gaps, quality problems, and delayed reporting are among the issues that continue to exist even though the Census and National Sample Surveys offer vital data. By automating data processing, enabling real-time analysis, and spotting hidden patterns in massive datasets, artificial intelligence (AI) and big data analytics provide creative answers to these problems. Statistical agencies can enhance the quality and applicability of health data and facilitate more accurate and timely health interventions by incorporating AI approaches like predictive analytics and natural language processing. In light of India's developing technological landscape, this paper emphasizes the significance of utilizing AI and Big Data to overcome current limitations in official statistics and enable data-driven policymaking. However, challenges like data integration and algorithmic biases must be addressed to fully unlock AI’s potential for advancing public health and vital statistics. |
| Keywords: | Artificial Intelligence, Big data, Public health, Official Statistics |
| Cite Article: | "A Comprehensive Review of AI and Big Data Applications in India’s Vital Statistics for Public Health", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a361-a377, December-2024, Available :http://www.ijrti.org/papers/IJRTI2412039.pdf |
| Downloads: | 000648 |
| 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: IJRTI2412039
Registration ID:200059
Published In: Volume 9 Issue 12, December-2024
DOI (Digital Object Identifier):
Page No: a361-a377 Country: Varansi, Uttar Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2412039 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2412039 |
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