| Prediction of survival and metastasis in breast cancer patients using machine learning classifiers L Tapak, N Shirmohammadi-Khorram, P Amini, B Alafchi, O Hamidi, ... Clinical Epidemiology and Global Health 7 (3), 293-299, 2019 | 119 | 2019 |
| Real-data comparison of data mining methods in prediction of diabetes in Iran L Tapak, H Mahjub, O Hamidi, J Poorolajal Healthcare informatics research 19 (3), 177, 2013 | 94 | 2013 |
| Comparative evaluation of time series models for predicting influenza outbreaks: Application of influenza-like illness data from sentinel sites of healthcare centers in Iran L Tapak, O Hamidi, M Fathian, M Karami BMC research notes 12, 1-6, 2019 | 65 | 2019 |
| Identifying important risk factors for survival in kidney graft failure patients using random survival forests O Hamidi, J Poorolajal, M Farhadian, L Tapak Iranian journal of public health 45 (1), 27, 2016 | 60 | 2016 |
| A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran O Hamidi, J Poorolajal, M Sadeghifar, H Abbasi, Z Maryanaji, HR Faridi, ... Theoretical and applied climatology 119, 723-731, 2015 | 58 | 2015 |
| Prediction of kidney graft rejection using artificial neural network L Tapak, O Hamidi, P Amini, J Poorolajal Healthcare informatics research 23 (4), 277, 2017 | 35 | 2017 |
| Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the … O Hamidi, L Tapak, H Abbasi, Z Maryanaji Theoretical and Applied Climatology 134 (3), 769-776, 2018 | 28 | 2018 |
| Prevalence and determinants of preterm birth in Tehran, Iran: a comparison between logistic regression and decision tree methods P Amini, S Maroufizadeh, RO Samani, O Hamidi, M Sepidarkish Osong public health and research perspectives 8 (3), 195, 2017 | 28 | 2017 |
| Factors associated with macrosomia among singleton live-birth: A comparison between logistic regression, random forest and artificial neural network methods P Amini, S Maroufizadeh, RO Samani, O Hamidi, M Sepidarkish Epidemiology, Biostatistics, and Public Health 13 (4), 2016 | 22 | 2016 |
| Investigating the effect of climatic parameters on mental disorder admissions L Tapak, Z Maryanaji, O Hamidi, H Abbasi, R Najafi-Vosough International journal of biometeorology 62, 2109-2118, 2018 | 19 | 2018 |
| A comparison of three data mining time series models in prediction of monthly brucellosis surveillance data N Shirmohammadi‐Khorram, L Tapak, O Hamidi, Z Maryanaji Zoonoses and public health 66 (7), 759-772, 2019 | 17 | 2019 |
| Predicting the Frequency of Human Brucellosis using Climatic Indices by three Data Mining Techniques of Radial Basis Function, Multilayer Perceptron and Nearest Neighbor: A … L Tapak, N Shirmohammadi Khorram, O Hamidi, Z Maryanaji Iranian Journal of Epidemiology 1111, 0-0, 2018 | 15 | 2018 |
| Identifying risk factors for progression to AIDS and mortality post-HIV infection using illness-death multistate model O Hamidi, L Tapak, J Poorolajal, P Amini Clinical Epidemiology and Global Health 5 (4), 163-168, 2017 | 13 | 2017 |
| Identifying predictors of progression to AIDS and mortality post-HIV infection using parametric multistate model O Hamidi, J Poorolajal, L Tapak Epidemiology, Biostatistics, and Public Health 14 (2), 2017 | 13 | 2017 |
| A tabu search algorithm with efficient diversification strategy for high school timetabling problem S Hooshmand, M Behshameh, O Hamidi arXiv preprint arXiv:1309.3285, 2013 | 13 | 2013 |
| Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data L Tapak, MR Kosorok, M Sadeghifar, O Hamidi BMC medical research methodology 18, 1-12, 2018 | 10 | 2018 |
| Application of random survival forest for competing risks in prediction of cumulative incidence function for progression to AIDS O Hamid, M Tapak, J Poorolajal, P Amini, L Tapak Epidemiology, Biostatistics, and Public Health 14 (4), 2017 | 8 | 2017 |
| Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study JP Sonia Darvishi, Omid Hamidi Journal of Preventive Medicine and Hygiene 62 (1), 192-199, 2021 | 7 | 2021 |
| Climatic and atmospheric indices teleconnection impact on the characteristics of frost season in western Iran Z Maryanaji, L Tapak, O Hamidi Journal of Water and Climate Change 10 (2), 391-401, 2019 | 7 | 2019 |
| High-dimensional additive hazards regression for oral squamous cell carcinoma using microarray data: a comparative study O Hamidi, L Tapak, A Jafarzadeh Kohneloo, M Sadeghifar BioMed Research International 2014, 2014 | 7 | 2014 |
Leili TapakAssociate Professor of Biostatistics, School of Public Health, Hamadan University of MedicalVerified email at umsha.ac.ir
