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The LifeLink: Online Blood Donation Network is a web-based platform designed to efficiently connect blood donors, hospitals, blood banks, and patients through a centralized system. The system enables users to register, search for available blood types, record donations, and manage blood distribution. A Ma- chine Learning model, specifically the Random Forest algorithm, is used to forecast future blood demand based on parameters such as blood type, date, and time. The platform also includes an optimization module to determine donor eligibility based on previous donations and other criteria. By integrating database management, predictive analytics, and user-friendly interfaces, the system helps ensure timely availability of blood and improves coordination between donors and healthcare institutions.
Index Terms—Blood Donation Network, Random Forest Algo- rithm, Blood Demand Forecasting, Donor Management System, Healthcare Information System, Machine Learning, Web Appli- cation, Blood Bank Management
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"LifeLink: Online Blood Donation Network", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b47-b55, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604141.pdf
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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