- Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran
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Tapak L, Mahjub H, Hamidi O, Poorolajal J
- KMID: 2166696
- Healthc Inform Res.
- 2013 Sep;19(3):177-185.
- doi: 10.4258/hir.2013.19.3.177
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 strategies. This study compared two traditional... -
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- Survival Analysis of Gastric Cancer Patients with Incomplete Data
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Moghimbeigi A, Tapak L, Roshanaei , Mahjub H
- KMID: 2183650
- J Gastric Cancer.
- 2014 Dec;14(4):259-265.
- doi: 10.5230/jgc.2014.14.4.259
PURPOSE: Survival analysis of gastric cancer patients requires knowledge about factors that affect survival time. This paper attempted to analyze the survival of patients with incomplete registered data by using... -
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- Predicting 5-Year Survival Status of Patients with Breast Cancer based on Supervised Wavelet Method
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Farhadian M, Mahjub H, Poorolajal J, Moghimbeigi A, Mansoorizadeh M
- KMID: 2518159
- Osong Public Health Res Perspect.
- 2014 Dec;5(6):324-332.
- doi: 10.1016/j.phrp.2014.09.002
Objectives Classification of breast cancer patients into different risk classes is very important in clinical applications. It is estimated that the advent of high-dimensional gene expression data could improve patient classification.... -
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- Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods
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Najafi-Vosough R, Faradmal J, Hosseini SK, Moghimbeigi A, Mahjub H
- KMID: 2522212
- Healthc Inform Res.
- 2021 Oct;27(4):307-314.
- doi: 10.4258/hir.2021.27.4.307
Objectives: Heart failure (HF) is a common disease with a high hospital readmission rate. This study considered class imbalance and missing data, which are two common issues in medical data.... -
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- Estimation of the Frequency of Intravenous Drug Users in Hamadan City, Iran, Using the Capture-recapture Method
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Khazaei S, Poorolajal J, Mahjub H, Esmailnasab N, Mirzaei M
- KMID: 2424672
- Epidemiol Health.
- 2012;34:e2012006.
OBJECTIVES: The number of illicit drug users is prone to underestimation. This study aimed to use the capture-recapture method as a statistical procedure for measuring the prevalence of intravenous drug... -
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- Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study
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Kazemi M, Moghimbeigi A, Kiani J, Mahjub H, Faradmal J
- KMID: 2380721
- Epidemiol Health.
- 2016;38:e2016011.
- doi: 10.4178/epih.e2016011
OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation.... -
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- Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data
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Sarvi F, Moghimbeigi A, Mahjub H, Nasehi M, Khodadost
- KMID: 2469434
- Epidemiol Health.
- 2019;41:e2019032.
- doi: 10.4178/epih.e2019032
OBJECTIVES: Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship... -
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