{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T13:39:35Z","timestamp":1770989975103,"version":"3.50.1"},"reference-count":17,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003127","name":"Punainen Risti Veripalvelu","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003127","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Vox Sanguinis"],"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Objectives<\/jats:title><jats:p>Deferral of blood donors due to low haemoglobin (Hb) is demotivating to donors, can be a sign for developing anaemia and incurs costs for blood establishments. The prediction of Hb deferral has been shown to be feasible in a number of studies based on demographic, Hb measurement and donation history data. The aim of this paper is to evaluate how state\u2010of\u2010the\u2010art computational prediction tools can facilitate nationwide personalized donation intervals.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>Using donation history data from the last 20\u2009years in Finland, FinDonor blood donor cohort data and blood service Biobank genotyping data, we built linear and non\u2010linear predictors of Hb deferral. Based on financial data from the Finnish Red Cross Blood Service, we then estimated the economic impacts of deploying such predictors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We discovered that while linear predictors generally predict Hb relatively well, they have difficulties in predicting low Hb values. Overall, we found that non\u2010linear or linear predictors with or without genetic data performed only slightly better than a simple cutoff based on previous Hb. However, if any of our deferral prediction methods are used to assign temporary prolongations of donation intervals for females, then our calculations indicate cost savings while maintaining the blood supply.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>We find that even though the prediction accuracy is not very high, the actual use of any of our predictors in blood collection is still likely to bring benefits to blood donors and blood establishments alike.<\/jats:p><\/jats:sec>","DOI":"10.1111\/vox.13223","type":"journal-article","created":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T11:46:45Z","timestamp":1637927205000},"page":"504-512","source":"Crossref","is-referenced-by-count":12,"title":["Prediction and impact of personalized donation intervals"],"prefix":"10.1111","volume":"117","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6843-5831","authenticated-orcid":false,"given":"Jarkko","family":"Toivonen","sequence":"first","affiliation":[{"name":"Finnish Red Cross Blood Service (FRCBS)  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yrj\u00f6","family":"Koski","sequence":"additional","affiliation":[{"name":"Finnish Red Cross Blood Service (FRCBS)  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esa","family":"Turkulainen","sequence":"additional","affiliation":[{"name":"Finnish Red Cross Blood Service (FRCBS)  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Femmeke","family":"Prinsze","sequence":"additional","affiliation":[{"name":"Sanquin Research  Amsterdam The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pietro","family":"della Briotta Parolo","sequence":"additional","affiliation":[{"name":"Institute for Molecular Medicine Finland  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Heinonen","sequence":"additional","affiliation":[{"name":"Department of Computer Science Aalto University  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6902-8488","authenticated-orcid":false,"given":"Mikko","family":"Arvas","sequence":"additional","affiliation":[{"name":"Finnish Red Cross Blood Service (FRCBS)  Helsinki Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,26]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1537-2995.2007.01292.x"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1423-0410.2010.01382.x"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1537-2995.2012.03655.x"},{"key":"e_1_2_8_5_1","unstructured":"NasserinejadK.Modeling longitudinal data of blood donors. 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