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Omid Hamidi

Department of Science,Hamedan University of Technology, Hamedan, Iran
Подтвержден адрес электронной почты в домене hut.ac.ir
Цитируется: 728

[HTML][HTML] Prediction of survival and metastasis in breast cancer patients using machine learning classifiers

…, P Amini, B Alafchi, O Hamidi… - … and Global Health, 2019 - Elsevier
Background Breast cancer (BC) is one of the most common malignancies in women. Early
diagnosis of BC and metastasis among the patients based on an accurate system can …

Real-data comparison of data mining methods in prediction of diabetes in Iran

L Tapak, H Mahjub, O Hamidi… - Healthcare informatics …, 2013 - synapse.koreamed.org
Objectives Diabetes is one of the most common non-communicable diseases in developing
countries. Early screening and diagnosis play an important role in effective prevention …

[HTML][HTML] Identifying important risk factors for survival in kidney graft failure patients using random survival forests

O Hamidi, J Poorolajal, M Farhadian… - Iranian journal of public …, 2016 - ncbi.nlm.nih.gov
Background: Kidney transplantation is the best alternative treatment for end-stage renal disease.
Several studies have been devoted to investigate predisposing factors of graft rejection. …

A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran

O Hamidi, J Poorolajal, M Sadeghifar, H Abbasi… - Theoretical and applied …, 2015 - Springer
This study compared two machine learning techniques, support vector machines (SVM), and
artificial neural network (ANN) in modeling monthly precipitation fluctuations. The SVM and …

Effects of supplemental chromium nanoparticles on IFN-γ expression of heat stress broilers

O Hamidi, M Chamani, H Ghahri, AA Sadeghi… - Biological trace element …, 2022 - Springer
The aim of present study was to investigate the beneficial effect of chromium (III) picolinate (CrPic)
and chromium (III) picolinate nanoparticles (NCrPic) addition on growth performance, …

Prediction of kidney graft rejection using artificial neural network

L Tapak, O Hamidi, P Amini… - Healthcare informatics …, 2017 - synapse.koreamed.org
Objectives Kidney transplantation is the best renal replacement therapy for patients with end-stage
renal disease. Several studies have attempted to identify predisposing factors of graft …

Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of …

O Hamidi, L Tapak, H Abbasi, Z Maryanaji - Theoretical and Applied …, 2018 - Springer
We have conducted a case study to investigate the performance of support vector machine,
multivariate adaptive regression splines, and random forest time series methods in snowfall …

[PDF][PDF] Effects of chromium (III) picolinate and chromium (III) picolinate nanoparticles supplementation on growth performance, organs weight and immune function in …

O Hamidi, M Chamani, H Ghahri, S AA… - KAFKAS …, 2017 - vetdergikafkas.org
This experiment conducted to investigate the effects of dietary chromium (III) picolinate (CrPic)
and chromium (III) picolinate nanoparticles (NanoCrPic) supplementation on growth …

[HTML][HTML] Prevalence and determinants of preterm birth in Tehran, Iran: a comparison between logistic regression and decision tree methods

…, S Maroufizadeh, RO Samani, O Hamidi… - Osong public health …, 2017 - ncbi.nlm.nih.gov
Objectives Preterm birth (PTB) is a leading cause of neonatal death and the second biggest
cause of death in children under five years of age. The objective of this study was to …