Estimation of Re-hospitalization risk of diabetic patients based on Radial Base Function (RBF) neural network method combined with colonial competition optimization algorithm

M.K. Jazi; N. Habibi; M. Harouni

Estimation of Re-hospitalization risk of diabetic patients based on Radial Base Function (RBF) neural network method combined with colonial competition optimization algorithm

M.K. Jazi, N. Habibi, M. Harouni

Biosciences

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Majlesi Journal of Electrical Engineering
Publication status	Published - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@article{881844c7f3c4416e813818d12daed486,

title = "Estimation of Re-hospitalization risk of diabetic patients based on Radial Base Function (RBF) neural network method combined with colonial competition optimization algorithm",

author = "M.K. Jazi and N. Habibi and M. Harouni",

year = "2018",

language = "English",

journal = "Majlesi Journal of Electrical Engineering",

}

TY - JOUR

T1 - Estimation of Re-hospitalization risk of diabetic patients based on Radial Base Function (RBF) neural network method combined with colonial competition optimization algorithm

AU - Jazi, M.K.

AU - Habibi, N.

AU - Harouni, M.

PY - 2018

Y1 - 2018

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85044039305&partnerID=MN8TOARS

M3 - Article

JO - Majlesi Journal of Electrical Engineering

JF - Majlesi Journal of Electrical Engineering

ER -