Careflow Mining Techniques to Explore Type 2 Diabetes Evolution-Reference-Cited by-同舟云学术

Careflow Mining Techniques to Explore Type 2 Diabetes Evolution

Published:2018-03 Issue:2 Volume:12 Page:251-259
ISSN:1932-2968
Container-title:Journal of Diabetes Science and Technology
language:en
Short-container-title:J Diabetes Sci Technol

Author:

Dagliati Arianna¹²,Tibollo Valentina¹^ORCID,Cogni Giulia¹,Chiovato Luca¹,Bellazzi Riccardo¹³,Sacchi Lucia³

Affiliation:

1. Istituti Clinici Scientifici Maugeri, Pavia, Italy

2. University of Manchester, Manchester, UK

3. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

Abstract

In this work we describe the application of a careflow mining algorithm to detect the most frequent patterns of care in a type 2 diabetes patients cohort. The applied method enriches the detected patterns with clinical data to define temporal phenotypes across the studied population. Novel phenotypes are discovered from heterogeneous data of 424 Italian patients, and compared in terms of metabolic control and complications. Results show that careflow mining can help to summarize the complex evolution of the disease into meaningful patterns, which are also significant from a clinical point of view.

Funder

Seventh Framework Programme

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/1932296818761751

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