{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T04:08:38Z","timestamp":1773288518585,"version":"3.50.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,24]]},"DOI":"10.1109\/rcar61438.2024.10671342","type":"proceedings-article","created":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T17:36:25Z","timestamp":1726248985000},"page":"570-575","source":"Crossref","is-referenced-by-count":1,"title":["Real-Time Blood Glucose Prediction Reveals a Discrepancy Between Performance Metrics and Real-World Evaluations"],"prefix":"10.1109","author":[{"given":"Miriam K.","family":"Wolff","sequence":"first","affiliation":[{"name":"NTNU,Department of ICT and Natural Sciences,&#x00C5;lesund,Norway,6009"}]},{"given":"Martin","family":"Steinert","sequence":"additional","affiliation":[{"name":"NTNU,Department of Mechanical and Industrial Engineering,Trondheim,Norway,7034"}]},{"given":"Anders L.","family":"Fougner","sequence":"additional","affiliation":[{"name":"NTNU,Department of Engineering Cybernetics,Trondheim,Norway,7034"}]},{"given":"Doyoung","family":"Oh","sequence":"additional","affiliation":[{"name":"The Arctic University of Norway,Department of Computer Science,Troms&#x00F8;,Norway,9019"}]},{"given":"Eirik","family":"\u00c5rsand","sequence":"additional","affiliation":[{"name":"The Arctic University of Norway,Department of Computer Science,Troms&#x00F8;,Norway,9019"}]},{"given":"Rune","family":"Volden","sequence":"additional","affiliation":[{"name":"NTNU,Department of ICT and Natural Sciences,&#x00C5;lesund,Norway,6009"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Demo of glucoprophet - real-time blood glucose prediction","year":"2024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/dom.14576"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-72245-0","volume-title":"Advances in Artificial Pancreas Systems Adaptive and Multivariable Predictive Control.","author":"Cinar","year":"2018"},{"issue":"6","key":"ref4","first-page":"813","article-title":"Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence","volume-title":"Diabetes & Metabolism Journal","volume":"45","author":"Moon","year":"2021"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2023.3276193"},{"key":"ref6","article-title":"Why did the model fail?: Attributing model performance changes to distribution shifts","author":"Zhang","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/dmrr.3449"},{"key":"ref8","first-page":"5","article-title":"The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020","volume-title":"CEUR Workshop Proc","author":"Marling"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2023.3331297"},{"key":"ref10","first-page":"120","article-title":"Data fusion of activity and cgm for predicting blood glucose levels","volume-title":"Knowledge Discovery in Healthcare Data 2020. 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence (ECAI 2020)","author":"Nemat"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2020.2975959"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3349496"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/dom.15281"},{"key":"ref14","volume-title":"Error grid analysis. Profil. Three different error grid analysis, the best tools used for determining clinical accuracy of blood glucose (BG) meter performance","author":"Benesch","year":"2017"},{"issue":"5","key":"ref15","first-page":"1281","article-title":"A Glucose-Specific Metric to Assess Predictors and Identify Models","volume-title":"IEEE Transactions on Biomedical Engineering","volume":"59","author":"Del Favero","year":"2012"},{"key":"ref16","article-title":"Explainable ai \u2014 how does it matter to a data scientist?","volume-title":"Analytics Vidhya","author":"Duraisamy","year":"2020"},{"key":"ref17","volume-title":"What is a decision matrix? definition & examples","year":"2023"},{"key":"ref18","article-title":"A review of some techniques for inclusion of domain-knowledge into deep neural networks","volume-title":"Scientific Reports","volume":"12","author":"Dash"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10710-021-09424-6"}],"event":{"name":"2024 IEEE International Conference on Real-time Computing and Robotics (RCAR)","location":"Alesund, Norway","start":{"date-parts":[[2024,6,24]]},"end":{"date-parts":[[2024,6,28]]}},"container-title":["2024 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10670697\/10670719\/10671342.pdf?arnumber=10671342","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T06:25:31Z","timestamp":1726295131000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10671342\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,24]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/rcar61438.2024.10671342","relation":{},"subject":[],"published":{"date-parts":[[2024,6,24]]}}}