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Design of a Block Chain and Machine-Learning Based Blood Donation Supply Chain Management

EasyChair Preprint no. 8459

22 pagesDate: July 12, 2022


The existing blood management system is built on centralized database management system. Even though it serves better for the community than the manual system existed in the past, still lot of challenges persist such as lack of traceability of blood component from its collection till consumption, proper blood quality check, storage of blood in particular temperature and possibility of transfusion related diseases such as AIDS, Hepatitis- B, Hepatitis-C, Malaria. Some places face scarcity in blood on the other hand, in some places there is wastage of blood due to its short life time. Hence Blockchain Technology (BCT) can be used as it is suitable because of its traceability, immutability nature of the data stored in the chain. This paper aims to propose the architecture for block-chain and machine-learning (ML) based blood donation supply chain management system which comprises of two modules. First module is based on BCT for the effective management of blood among the donors, blood bank, hospitals, patients. Second module is based on machine-learning for detection of blood transfusion transmissible infections (TTI). In this paper we plan to implement the initial stage of the proposed architecture ie checking if the donor is eligible for donation,collection of blood from donor and storing of the same in blockchain after ensuring if he is eligible to donate. The proposed model can be implemented with Hyperledger Fabric tool, an open-source, permissioned BC platform. With the proposed model, the blood can be easily traceable by the users of the system. The collected blood is tested twice for TTI. One with blood testing center and another check with proposed ML based detection. Hence, the blood recipient can confidently obtain and get utilized by the blood as there exists transparency in supply of blood from its origin till consumption. Also, Donor can get updates once their donated blood is been consumed. This engages them to donate blood again in the future.

Keyphrases: Blockchain, Blockchain Technology, blood supply chain management, Chaincode, healthcare system, Hyperledger Fabric, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {E Sweetline Priya and D Akila and R Priya},
  title = {Design of a Block Chain and Machine-Learning Based Blood Donation Supply Chain Management},
  howpublished = {EasyChair Preprint no. 8459},

  year = {EasyChair, 2022}}
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