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Predicting onset of complications from diabetes: a graph based approach
Diabetes is a significant health concern with more than 30 million Americans living with diabetes. Onset of diabetes increases the risk for various complications, including kidney disease, myocardial infractions, heart failure, stroke, retinopathy, and liver disease. In this paper, we study and pred...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245137/ https://www.ncbi.nlm.nih.gov/pubmed/30581983 http://dx.doi.org/10.1007/s41109-018-0106-z |
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author | Thomas, Pamela Bilo Robertson, Daniel H. Chawla, Nitesh V. |
author_facet | Thomas, Pamela Bilo Robertson, Daniel H. Chawla, Nitesh V. |
author_sort | Thomas, Pamela Bilo |
collection | PubMed |
description | Diabetes is a significant health concern with more than 30 million Americans living with diabetes. Onset of diabetes increases the risk for various complications, including kidney disease, myocardial infractions, heart failure, stroke, retinopathy, and liver disease. In this paper, we study and predict the onset of these complications using a network-based approach by identifying fast and slow progressors. That is, given a patient’s diagnosis of diabetes, we predict the likelihood of developing one or more of the possible complications, and which patients will develop complications quickly. This combination of "if a complication will be developed” with ”how fast it will be developed” can aid the physician in developing better diabetes management program for a given patient. |
format | Online Article Text |
id | pubmed-6245137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62451372018-12-20 Predicting onset of complications from diabetes: a graph based approach Thomas, Pamela Bilo Robertson, Daniel H. Chawla, Nitesh V. Appl Netw Sci Research Diabetes is a significant health concern with more than 30 million Americans living with diabetes. Onset of diabetes increases the risk for various complications, including kidney disease, myocardial infractions, heart failure, stroke, retinopathy, and liver disease. In this paper, we study and predict the onset of these complications using a network-based approach by identifying fast and slow progressors. That is, given a patient’s diagnosis of diabetes, we predict the likelihood of developing one or more of the possible complications, and which patients will develop complications quickly. This combination of "if a complication will be developed” with ”how fast it will be developed” can aid the physician in developing better diabetes management program for a given patient. Springer International Publishing 2018-11-15 2018 /pmc/articles/PMC6245137/ /pubmed/30581983 http://dx.doi.org/10.1007/s41109-018-0106-z Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Thomas, Pamela Bilo Robertson, Daniel H. Chawla, Nitesh V. Predicting onset of complications from diabetes: a graph based approach |
title | Predicting onset of complications from diabetes: a graph based approach |
title_full | Predicting onset of complications from diabetes: a graph based approach |
title_fullStr | Predicting onset of complications from diabetes: a graph based approach |
title_full_unstemmed | Predicting onset of complications from diabetes: a graph based approach |
title_short | Predicting onset of complications from diabetes: a graph based approach |
title_sort | predicting onset of complications from diabetes: a graph based approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245137/ https://www.ncbi.nlm.nih.gov/pubmed/30581983 http://dx.doi.org/10.1007/s41109-018-0106-z |
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