Research Article
Estimation of Packed Red Cells (PRC) Blood Stock Using Extended Kalman Filter as Management of Blood Transfusion at Blood Bank of PMI Surabaya
@INPROCEEDINGS{10.4108/eai.16-10-2019.163228, author={Abdul Muhith and Teguh Herlambang}, title={Estimation of Packed Red Cells (PRC) Blood Stock Using Extended Kalman Filter as Management of Blood Transfusion at Blood Bank of PMI Surabaya}, proceedings={Proceedings of the 1st International Conference on Business, Law And Pedagogy, ICBLP 2019, 13-15 February 2019, Sidoarjo, Indonesia}, publisher={EAI}, proceedings_a={ICBLP}, year={2020}, month={2}, keywords={Blood Transfusion; blood bank; blood stock.}, doi={10.4108/eai.16-10-2019.163228} }- Abdul Muhith
Teguh Herlambang
Year: 2020
Estimation of Packed Red Cells (PRC) Blood Stock Using Extended Kalman Filter as Management of Blood Transfusion at Blood Bank of PMI Surabaya
ICBLP
EAI
DOI: 10.4108/eai.16-10-2019.163228
Abstract
One of the main problems encountered in health service system in developing countries is shortage of enough safe blood supply to meet the demand for blood transfusion. The safety and availability of blood supply rely on the government's support and commitment to the improvement of the national blood transfusion services. Safe blood stock can change from time to time, while the demand for blood constantly increases. Such method is considered less effective due to the fact that very often the data of blood donor do not meet the requirements. So a software for blood supply estimation is required. This paper is study of blood demand estimation for blood type of Packed Red Cells (PRC) at blood bank of PMI Surabaya by using the method of Extended Kalman Filter (EKF). The simulation results show that Extended Kalman Filter method have high accuracy with an error of less than 3-4%.