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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP49372

Blood Bond

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP49372

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AS

Abhishek Singh

AP

Ansh Patel

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Abstract

Blood Bond” is a cutting-edge digital platform that aims to revolutionize blood bank operations and blood requirement forecasting through the use of intelligent systems. The platform combines a comprehensive donor management system with advanced machine learning algorithms to enhance blood inventory management, streamline donor-hospital coordination, and guarantee prompt transfusions. This paper examines previous studies on digital blood management systems, patient blood management programs, and machine learning applications in the healthcare field. It emphasizes how these technologies are combined to create a unified system that can predict the demand for blood in different districts based on blood group. The paper also covers the methods, technical aspects, anticipated results, and future improvements to enhance blood bank operations and save lives. Ultimately, the system aspires to become a comprehensive solution that empowers stakeholders in the healthcare ecosystem by enabling informed decision-making and minimizing the risk of blood shortages through predictive intelligence.

KEYWORDS

blood bank machine learning blood requirement prediction donor management healthcare information technology inventory optimization digital health system.

Cite This Article

Abhishek Singh, Ansh Patel, "Blood Bond," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

5/28/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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