Report Pulse: Using Machine Learning

Year : 2024 | Volume : 15 | Issue : 02 | Page : 28 33
    By

    Pradnya Patil,

  • Sahil Sheikh,

  • Sayali Thombare,

  • Nikita Saindane,

  1. Student, Department of Computer Engineering, Pillai HOC College of Engineering & Technology, Mumbai University, Rasayani, Maharashtra, India
  2. Student, Department of Computer Engineering, Pillai HOC College of Engineering & Technology, Mumbai University, Rasayani, Maharashtra, India
  3. Student, Department of Computer Engineering, Pillai HOC College of Engineering & Technology, Mumbai University, Rasayani, Maharashtra, India
  4. Assistant Professor, Department of Computer Engineering, Pillai HOC College of Engineering and Technology, Mumbai University, Rasayani, Maharashtra, India

Abstract

This study presents the development of a novel medical report analyzer, specifically designed to streamline the interpretation of complex health data. The Report Pulse project represents a significant advancement in healthcare innovation, aiming to facilitate deeper insights into medical reports and foster personalized health management strategies. At its core, the Report Pulse project introduces a sophisticated blood report analyzer, which transcends conventional data analysis by providing actionable insights tailored to individual health needs. By harnessing cutting-edge technology, Report Pulse goes beyond merely presenting raw data, offering users personalized diet plans and essential health information derived from comprehensive report analysis. The complexity of medical reports often poses a significant challenge for individuals seeking to understand their health status. Report Pulse addresses this challenge by serving as a beacon of clarity in the realm of health data interpretation. Through intuitive design and advanced algorithms, Report Pulse demystifies the intricacies of blood reports, empowering users with invaluable insights into their health metrics. Moreover, the transformative potential of Report Pulse extends beyond individual health management. By facilitating deeper understanding of health data, Report Pulse contributes to broader healthcare innovation efforts, paving the way for more informed decision-making and enhanced patient outcomes. In summary, the Report Pulse project represents a paradigm shift in healthcare technology, offering a comprehensive solution to the complexities of medical report analysis. By combining advanced analytics with personalized insights, Report Pulse empowers users to take proactive steps towards optimizing their health and well-being.

Keywords: Innovation, transformative, sophisticated, personalized, complexity

[This article belongs to Journal of Computer Technology & Applications ]

How to cite this article:
Pradnya Patil, Sahil Sheikh, Sayali Thombare, Nikita Saindane. Report Pulse: Using Machine Learning. Journal of Computer Technology & Applications. 2024; 15(02):28-33.
How to cite this URL:
Pradnya Patil, Sahil Sheikh, Sayali Thombare, Nikita Saindane. Report Pulse: Using Machine Learning. Journal of Computer Technology & Applications. 2024; 15(02):28-33. Available from: https://journals.stmjournals.com/jocta/article=2024/view=152428


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Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 06/04/2024
Accepted 17/04/2024
Published 29/06/2024
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