Development of Diabetes Mellitus Diagnosis Method Based Random Forest Classifier with Particle Swarm Optimization-Reference-Cited by-同舟云学术

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Development of Diabetes Mellitus Diagnosis Method Based Random Forest Classifier with Particle Swarm Optimization

Published:2023-11-07 Issue: Volume:15 Page:1-6
ISSN:
Container-title:2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED)
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Author:

Anam Syaiful¹,Amijaya Fidia Deny Tisna²,Wijoyo Satrio Hadi³,Ratnawati Dian Eka⁴,Lestari Cynthia Ayu Dwi¹,Ilyas Muhaimin¹

Affiliation:

1. Brawijaya University,Mathematics Department,Malang,Indonesia

2. Mulawarman University,Mathematics Department,Samarinda,Indonesia

3. Brawijaya University,Information System Department,Malang,Indonesia

4. Brawijaya University,Informatics Engineering Department,Malang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424960/10424702/10425788.pdf?arnumber=10425788

Reference16 articles.

1. Complications of Diabetes

2. An assessment of the effectiveness of a random forest classifier for land-cover classification

3. Protein inter-domain linker prediction using Random Forest and amino acid physiochemical properties;Shatnawi;BMC Bioinformatics,2014

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