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Fault detection of continuous glucose measurements based on modified k-medoids clustering algorithm, Neural Computing & Applications, 2020, 23(10). (JCR: Q1, IF: 5.606)
Release Time:2023-01-08  Hits:

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Prev One:Online Glucose Prediction Using Computationally Efficient Sparse Kernel Filtering Algorithms in Patients with Type 1 Diabetes, IEEE Transactions on Control Systems Technology, 2020.01(JCR: Q1, IF: 5.485)

Next One:An independent central point OPTICS clustering algorithm for semi-supervised outlier detection of continuous glucose measurements, Biomedical Signal Processing and Control. 2022, 8(11). (JCR: Q2, IF: 5.706)

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