An Efficiency Random Forest Algorithm for Classification of Patients with Kidney Dysfunction

Chumuang, Narumol; Meesang, Nuttawoot; Ketcham, Mahasak; Yimyam, Worawut; Chalermdit, Jiragorn; Wittayakhom, Nawarat; Pramkeaw, Patiyuth

doi:10.1109/isai-nlp51646.2020.9376785

2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) 2020

DOI: 10.1109/isai-nlp51646.2020.9376785

|View full text |Cite

An Efficiency Random Forest Algorithm for Classification of Patients with Kidney Dysfunction

Narumol Chumuang

Nuttawoot Meesang

Mahasak Ketcham

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Other5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 23 publications

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Occupational Disease Risk Assessment System Using Artificial Intelligence System and Chatbot

Yimyam

Ketcham

2022

2022 International Conference on Cybernetics and Innovations (ICCI)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An Efficiency Random Forest Algorithm for Classification of Patients with Kidney Dysfunction

Cited by 23 publications

References 18 publications

Occupational Disease Risk Assessment System Using Artificial Intelligence System and Chatbot

Occupational Disease Risk Assessment System Using Artificial Intelligence System and Chatbot

The Soil Quality Analysis using K-Mean Technique and Model Color

Design and Prototyping of Intelligent Bin by Using AIoT

Contact Info

Product

Resources

About