Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine-Reference-Cited by-同舟云学术

Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine

Published:2020-08-07 Issue:1 Volume:51 Page:223-236
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang Hongmei,Xu Yitian^ORCID,Chen Qian,Wang Xinye

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

General Hospital of People’s Liberation Army

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/content/pdf/10.1007/s10489-020-01824-y.pdf

Reference44 articles.

1. Cunha JPMCM, Gysemans C, Gillard P, Mathieu C (2018) Stem-cell-based therapies for improving islet transplantation outcomes in type 1 diabetes. Current diabetes reviews 14(1):3–13

2. IDF (2019) International diabetes federation. https://idf.org/ Accessed May 09

3. Kapur A (2007) Economic analysis of diabetes care. The Indian journal of medical research 125 (3):473–482

4. Chaturvedi N (2007) The burden of diabetes and its complications: Trends and implications for intervention. Diabetes Res Clin Pract 76(3):S3–S12

5. Wang J (2008) Data warehousing and mining: Concepts, methodologies, tools, and applications, information science reference, hershey PA

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