INSULIN TITRATION ALGORITHM BASED ON PATIENT PROFILE

• Main Authors: ARADOTTIR TINNA BJORK, IMANBAYEV ANUAR, SHVETS OLEKSANDR, MILLER THOMAS DEDENROTH
• Format: Patent
• Language: Chinese; English
• Published: 04.02.2020
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

A device, system and method is provided for predicting risk of hypoglycemia and adjusting an insulin medicament dose size for a subject being on pen based multi-daily injections. A first algorithm isprovided for computing a first insulin dose size based on a plurality of timestamped blood glucose (BG) measurements and insulin injected dose sizes. A risk predition module is adapted to, based on machine learning algorithms, predict risk of hypoglycemia based on the timestamped BG measurements and calculate a second insulin dose size resulting in a non-hypoglycemic state. In case the second dosesize is lower than the first dose size, the first dose size is automatically adjusted down to the second dose size and communicated as the recommended dose size to the subject. 本发明提供了一种用于预测接受笔式每日多次注射的受试者的低血糖风险并调整胰岛素药物剂量大小的装置、系统和方法。本发明提供了用于基于多个带时间戳的血糖(BG)测量值和胰岛素注射剂量大小来计算第一胰岛素剂量大小的第一算法。风险预测模块适于基于机器学习算法，基于所述带时间戳的BG测量值来预测低血糖风险，并计算产生非低血糖状态的第二胰岛素剂量大小。在所述第二剂量大小低于所述第一剂量大小的情况下，将所述第一剂量大小自动地向下调整为所述第二剂量大小，并作为推荐剂量大小传送至所述受试者。