Профили пользователей по запросу "Omid Hamidi"
Omid HamidiDepartment 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
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 …
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
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 …
countries. Early screening and diagnosis play an important role in effective prevention …
Comparative evaluation of time series models for predicting influenza outbreaks: Application of influenza-like illness data from sentinel sites of healthcare centers in …
Objective Forecasting the time of future outbreaks would minimize the impact of diseases by
taking preventive steps including public health messaging and raising awareness of …
taking preventive steps including public health messaging and raising awareness of …
[HTML][HTML] Identifying important risk factors for survival in kidney graft failure patients using random survival forests
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. …
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
This study compared two machine learning techniques, support vector machines (SVM), and
artificial neural network (ANN) in modeling monthly precipitation fluctuations. The 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, …
and chromium (III) picolinate nanoparticles (NCrPic) addition on growth performance, …
Prediction of kidney graft rejection using artificial neural network
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 …
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 …
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 …
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 …
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
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 …
cause of death in children under five years of age. The objective of this study was to …