- Machine Learning-based Classifiers for the Prediction of Low Birth Weight
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Arayeshgari M, Najafi-Ghobadi S, Tarhsaz H, Parami S, Tapak L
- KMID: 2539398
- Healthc Inform Res.
- 2023 Jan;29(1):54-63.
- doi: 10.4258/hir.2023.29.1.54
Objectives: Low birth weight (LBW) is a global concern associated with fetal and neonatal mortality as well as adverse consequences such as intellectual disability, impaired cognitive development, and chronic diseases... -
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- Position of the hyoid bone and its correlation with airway dimensions in different classes of skeletal malocclusion using cone-beam computed tomography
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Shokri A, Mollabashi V, Zahedi F, Tapak L
- KMID: 2506007
- Imaging Sci Dent.
- 2020 Jun;50(2):105-115.
- doi: 10.5624/isd.2020.50.2.105
Purpose: This study investigated the position of the hyoid bone and its relationship with airway dimensions in different skeletal malocclusion classes using cone-beam computed tomography (CBCT). Materials and Methods: CBCT scans... -
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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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- Psychological and Sociodemographic Predictors of Fertility Intention among Childbearing-Aged Women in Hamadan, West of Iran: An Application of the BASNEF Model
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Bandehelahi K, Khoshravesh S, Barati M, Tapak L
- KMID: 2449017
- Korean J Fam Med.
- 2019 May;40(3):182-187.
- doi: 10.4082/kjfm.18.0008
BACKGROUND: Fertility and childbearing are the most important determinants of population variation around the world. This study was conducted with the aim of determining the psychological and sociodemographic factors predicting... -
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- Prediction of Serum Creatinine in Hemodialysis Patients Using a Kernel Approach for Longitudinal Data
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Amiri MM, Tapak L, Faradmal J, Hosseini J, Roshanaei
- KMID: 2501336
- Healthc Inform Res.
- 2020 Apr;26(2):112-118.
- doi: 10.4258/hir.2020.26.2.112
Objectives Longitudinal data are prevalent in clinical research; due to their correlated nature, special analysis must be used for this type of data. Creatinine is an important marker in predicting end-stage... -
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- Factors associated with in-hospital death in patients with nosocomial infections: a registry-based study using community data in western Iran
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Khazaei S, Ayubi E, Jenabi E, Bashirian S, Shojaeian M, Tapak L
- KMID: 2504681
- Epidemiol Health.
- 2020;42:e2020037.
- doi: 10.4178/epih.e2020037
Objectives: Determining the predictors of in-hospital death related to nosocomial infections is an essential part of efforts made in the overall health system to improve the delivery of health care... -
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- Prediction of Kidney Graft Rejection Using Artificial Neural Network
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Tapak L, Hamidi O, Amini P, Poorolajal J
- KMID: 2396419
- Healthc Inform Res.
- 2017 Oct;23(4):277-284.
- doi: 10.4258/hir.2017.23.4.277
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 rejection; however, the results have... -
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- 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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- Risk factors for low back pain among elementary school students in western Iran using penalized logistic regression
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Rezapur-Shahkolai F, Gheysvandi E, Tapak L, Dianat I, Karimi-Shahanjarini A, Heidarimoghadam R
- KMID: 2504683
- Epidemiol Health.
- 2020;42:e2020039.
- doi: 10.4178/epih.e2020039
OBJECTIVES: This study investigated the prevalence of low back pain (LBP) and its risk factors among elementary-school students. METHODS: In this cross-sectional study, 693 elementary students from Hamadan city, western Iran,... -
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