A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare-Reference-Cited by-同舟云学术

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A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare

Published:2024-02 Issue: Volume:152 Page:111183
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Tin-Chih Toly,Wu Hsin-Chieh^ORCID,Chiu Min-Chi

Publisher

Elsevier BV

Subject

Software

Reference72 articles.

1. Health Promotion Administration, Diabetes, 2023. 〈https://www.hpa.gov.tw/Pages/List.aspx?nodeid=359〉.

2. Intelligible support vector machines for diagnosis of diabetes mellitus;Barakat;IEEE Trans. Inf. Technol. Biomed.,2010

3. Diagnosing diabetes using neural networks on small mobile devices;Karan;Expert Syst. Appl.,2012

4. Prediction and diagnosis of diabetes mellitus—a machine learning approach;Vijayan;IEEE Recent Adv. Intell. Comput. Syst.,2015

5. Artificial intelligence methodologies and their application to diabetes;Rigla;J. Diabetes Sci. Technol.,2018

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