Data Mining of a Remote Behavioral Tracking System for Type 2 Diabetes Patients: A Prospective Cohort Study.

Noah WayneNick CerconeJiye Li Ariel Zohar Joel D Katz Patrick E Brown Paul Ritvo

Published in: JMIR diabetes (2016)

Data mining techniques can reveal relevant coherent behavior patterns useful in guiding future intervention structure. It appears that focusing on using one or two trackers, in a symbolic function, was more effective (in this sample) than regular use of all three trackers.

Keyphrases

type diabetes
end stage renal disease
electronic health record
ejection fraction
randomized controlled trial
newly diagnosed
chronic kidney disease
big data
cardiovascular disease
prognostic factors
gene expression
current status
genome wide
single cell
artificial intelligence
weight loss
deep learning