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PATIENT DIABETES MONITORING SYSTEM WITH CLUSTERING OF UNSUPERVISED DAILY CGM PROFILES (OR INSULIN PROFILES) AND METHOD THEREOF
PATIENT DIABETES MONITORING SYSTEM WITH CLUSTERING OF UNSUPERVISED DAILY CGM PROFILES (OR INSULIN PROFILES) AND METHOD THEREOF
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机译:具有未监督的日常CGM轮廓(或胰岛素轮廓)的患者糖尿病监测系统及其方法
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摘要
A patient diabetes monitoring system with an efficient unsupervised daily monitoring profile clustering algorithm, a method, and a computer product thereof are disclosed. The system may include a physiological data input device or sensor which receives a plurality of physiological measurements to generate a dataset, a memory which stores a clustering algorithm, and a processor. The clustering algorithm when executed by the processor, causes the processor to automatically pre-process the dataset to control an amount of bias/aggressiveness from the collected unsupervised daily monitoring profiles, thereby generating a pre-processed dataset, build a similarity matrix from the pre-processed dataset, and output an optimum number of similarity clusters found by the processor from the similarity matrix.
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