This is a project which uses clinical data to predict a type 1 diabetes patient's risk of developing the complications diabetic peripheral neuropathy, cardiac autonomic neuropathy, diabetic retinopathy, and diabetic nephropathy.

The raw data file is "2_T1DComplications data_cleaned for Paul.csv"
The code to process the data and create the risk models is "Paul_draft_v4.Rmd"
The code to generate the Shiny App Web Interface (https://ptran25.shinyapps.io/Diabetic_Peripheral_Neuropathy_Risk) is in the "Shiny App" folder.

The manuscript describing the methods will be submitted for publication soon.

This work was supported by grants from the National Institutes of Health (R21HD050196, R33HD050196, and 2RO1HD37800) and JDRF (1-2004-661) to JXS. SP (2-2011-153, 10-2006-792 and 3-2004-195) and WZ (3-2009-275) were supported by Postdoctoral Fellowship and Career Development Award from JDRF. PMHT was supported by NIH fellowship (F30DK12146101A1). This work was partially supported by the Georgia Research Alliance Eminent Scholar Program to JXS.

Paul Tran