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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
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Issue Published : 121
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| Paper Title: | Priority-Based Donor Pairing: An Optimized Framework for Real-Time Blood Mobilization |
| Authors Name: | Jasmeet Kaur , Jatin Pal , Diya Sirohi , Krishna Bansal |
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IJRTI_212150
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| Published Paper Id: | IJRTI2605016 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The availability of compatible blood for emergencies is a complex issue in healthcare logistics, especially when it comes to uncommon blood types like the Bombay (hh) group. At present, most of the blood mobilization processes are manually intensive and employ basic geolocation mechanisms, potentially delaying the provision of blood and contributing to donor alert fatigue. This paper presents the Priority-Based Donor Matching Algorithm (PDMA), an artificial intelligence-powered multi-criteria decision-making framework tailored towards real- time matching of blood donors in emergencies. The algorithm utilizes a set of five primary criteria for evaluating the donors, which include biological compatibility, geographic proximity, physiological compatibility, rare blood urgency, and reliability prediction. The PDMA also makes use of an eXtreme Gradi- ent Boosting (XGBoost) predictive model for determining the likelihood of positive donor reactions and implementing alert throttling via exponential backoff and rate limiting techniques. Simulations involving synthetic datasets demonstrated that the proposed algorithm was able to perform better than conventional Nearest-by-Type methods, with results showing a 59.1% median reduction in Time-to-Match, a 119% increase in donor conversion rates, and a 45% improvement in locating rare blood units. Index Terms—Blood Donation, Multi-Criteria Decision Making (MCDM), XGBoost, Rare Blood Groups, Healthcare Logistics, Predictive Modeling, Emergency Response, Alert Fatigue. |
| Keywords: | Blood Donation Systems, Donor Matching Algorithm, Healthcare Logistics, Multi-Criteria Decision Making (MCDM), XGBoost, Predictive Modeling, Emergency Response Systems, Rare Blood Groups, Real-Time Optimization |
| Cite Article: | "Priority-Based Donor Pairing: An Optimized Framework for Real-Time Blood Mobilization", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a112-a115, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605016.pdf |
| Downloads: | 000205556 |
| 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: IJRTI2605016
Registration ID:212150
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a112-a115 Country: Farrukhabad, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605016 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605016 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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