Nadia Alipour
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View article: Long-Term Outcomes of Non-Total Body Irradiation Hematopoietic Stem Cell Transplantation in Pediatric Secondary Malignancies: Experience from a Single Center
Long-Term Outcomes of Non-Total Body Irradiation Hematopoietic Stem Cell Transplantation in Pediatric Secondary Malignancies: Experience from a Single Center Open
Secondary malignancies (SMs) are one of the concerning challenges in oncology, referring to the development of a new neoplasm unrelated to the primary tumor. In this study, we evaluated the outcomes of HSCT with a non-total body irradiatio…
View article: Clients’ experiences in their first entry to the operating room: a descriptive phenomenological study
Clients’ experiences in their first entry to the operating room: a descriptive phenomenological study Open
Patients' exposure to an unfamiliar place with new and unknown equipment, personnel with different clothing, stress, worry, psychosomatic reactions following stress, and annoying environmental factors can lead to an unpleasant experience f…
View article: Regularized Machine Learning Models for Prediction of Metabolic Syndrome Using <i>GCKR, APOA5,</i> and <i>BUD13</i> Gene Variants: Tehran Cardiometabolic Genetic Study.
Regularized Machine Learning Models for Prediction of Metabolic Syndrome Using <i>GCKR, APOA5,</i> and <i>BUD13</i> Gene Variants: Tehran Cardiometabolic Genetic Study. Open
Regularized machine learning models provided more accurate and parsimonious MetS classifying models. These high-performing diagnostic models can lay the foundation for clinical decision support tools that use genetic and demographical vari…
View article: Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study Open
Background Metabolic syndrome (MetS) is a prevalent multifactorial disorder that can increase the risk of developing diabetes, cardiovascular diseases, and cancer. We aimed to compare different machine learning classification methods in pr…
View article: The AGT Epistasis Pattern Proposed a Novel Role for ZBED9 In Regulating Blood Pressure: Tehran Cardiometabolic Genetic Study (TCGS)
The AGT Epistasis Pattern Proposed a Novel Role for ZBED9 In Regulating Blood Pressure: Tehran Cardiometabolic Genetic Study (TCGS) Open
Backgroung: Hypertension is typically considered as the leading risk factor for cardiovascular disease. Epistasis studies may add another layer of complexity to our understanding of the genetic basis of hypertension. Methods: A nested case…
View article: Additional file 1 of Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
Additional file 1 of Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study Open
Additional file 1. Readers can refer to the supplementary material file to see more details of the accuracy indices of the models for each repeat and each fold.
View article: Total delay and associated factors in pulmonary tuberculosis patients in Golestan province.
Total delay and associated factors in pulmonary tuberculosis patients in Golestan province. Open
It should beam emphasis on increasing the community's awareness of the symptoms of tuberculosis and effective collaboration should be made between the Infectious Disease Control Center and the private and public sectors.
View article: Prevalence of Depression among Emp loyees of Lorestan University of Medical Sciences and Its Relationship with Demographic Variables in 2017, west of Iran
Prevalence of Depression among Emp loyees of Lorestan University of Medical Sciences and Its Relationship with Demographic Variables in 2017, west of Iran Open
Introduction: Depression is one of the psychiatric disorders and is the most common mood disorder. Stably and sometimes unstable, depression can involve and interfere with different aspects of life. By disrupting tasks, reducing motivation…
View article: Survival prediction of gastric cancer patients by Artificial Neural Network model.
Survival prediction of gastric cancer patients by Artificial Neural Network model. Open
the 5 years survival rate of gastric cancer patients in Mazandaran is lower than other provinces which could be due to the delay in diagnosis or patient's referral. Therefore, the use of screening methods and early diagnosis could be influ…
View article: Study of Factors Influencing the Length of Hospital Stay of Patients with Anxiety Disorders
Study of Factors Influencing the Length of Hospital Stay of Patients with Anxiety Disorders Open
Background: Anxiety disorders are the most common groups of mental disorders. Based on the world health organization reports 7.4% of global DALYs are caused by disorders, which are in the mental and behavioral category. One of the problems…
View article: Years of Life Lost due to early death from road traffic injuries in Mazandaran province
Years of Life Lost due to early death from road traffic injuries in Mazandaran province Open
Background and Purpose: Disasters and traffic accidents as the leading causes of disability and death throughout the world are the most significant health problems which have usually been predictable and, therefore, possible to prevent.The…
View article: Years of Life Lost due to early death from road traffic injuries in Mazandaran province
Years of Life Lost due to early death from road traffic injuries in Mazandaran province Open
Background and purpose: Disasters and traffic accidents as the leading causes of disability and death throughout the world are the most significant health problems which have usually been predictable and, therefore, possible to prevent. Th…