Search Results

You are looking at 1 - 2 of 2 items for :

  • "K-means clustering" x
Clear All
Open access

Li Li, Qifa Song and Xi Yang

risk of missing naturally occurring disease patterns or subgroups ( 14 ). In contrast, K-means clustering method, a type of big data analysis techniques, applies unsupervised clustering algorithms to classify patients according to the distribution of

Open access

Lilit Egshatyan, Daria Kashtanova, Anna Popenko, Olga Tkacheva, Alexander Tyakht, Dmitry Alexeev, Natalia Karamnova, Elena Kostryukova, Vladislav Babenko, Maria Vakhitova and Sergey Boytsov

diagnosed T2D with disease duration <12 months after the diagnosis and the HbA1c level from 6.5 to 9.0%. Patients were also divided into diet clusters depending on the diet nutrients (by using the k -means clustering). Criteria for exclusion from the study