Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms-Reference-Cited by-同舟云学术

Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms

Published:2022-03-24 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Chang Victor^ORCID,Bailey Jozeene,Xu Qianwen Ariel,Sun Zhili

Funder

VC Research

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07049-z.pdf

Reference36 articles.

1. World Health Organisation (2016) Global Report on Diabetes. https://www.who.int/publications-detail/global-report-on-diabetes.Accessed: 24 Apr 2020

2. World Health Organization (2013) Global action plan for the prevention and control of NCDs 2013–2020. https://apps.who.int/iris/bitstream/handle/10665/94384/9789241506236_eng.pdf;jsessionid=5A344A4B152EABE6C021C9A7EEE444C8?sequence=1.Accessed 24 Feb 2021

3. Schulz LO, Bennett PH, Ravussin E, Kidd JR, Kidd KK, Esparza J, Valencia ME (2006) Effects of traditional and western environments on prevalence of type 2 diabetes in Pima Indians in Mexico and the US. Diabetes Care 29(8):1866–1871

4. Smith JW, Everhart JE, Dickson WC, Knowler WC, Johannes RS (1988) Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In: Proceedings of the annual symposium on computer application in medical care, pp 261–265

5. Larabi-Marie-Sainte S, Aburahmah L, Almohaini R, Saba T (2019) Current techniques for diabetes prediction: review and case study. Appl Sci 9(21):4604

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