Contrast Pattern Mining With the T1D Exchange Clinic Registry Reveals Complex Phenotypic Factors and Comorbidity Patterns Associated With Familial Versus Sporadic Type 1 Diabetes

Diabetes Care. 2022 Mar 1;45(3):e56-e59. doi: 10.2337/dc21-2239.

Authors

Erin M Tallon¹, Maria J Redondo², Chi-Ren Shyu^{1

3

4}, Danlu Liu³, Katrina Boles¹, Mark A Clements⁵

Affiliations

¹ Institute for Data Science and Informatics, University of Missouri, Columbia, MO.
² Texas Children's Hospital, Baylor College of Medicine, Houston, TX.
³ Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO.
⁴ School of Medicine, University of Missouri, Columbia, MO.
⁵ Division of Endocrinology and Diabetes, Children's Mercy Hospital, Kansas City, MO.

No abstract available

Publication types

Letter
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Comorbidity
Diabetes Mellitus, Type 1* / complications
Diabetes Mellitus, Type 1* / epidemiology
Humans
Registries

Grants and funding