Azam Orooji
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View article: Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction
Analyzing the impact of feature selection methods on machine learning algorithms for heart disease prediction Open
View article: Cardiopulmonary resuscitation of infants at birth: predictable or unpredictable?
Cardiopulmonary resuscitation of infants at birth: predictable or unpredictable? Open
Background: Anticipating the need for at-birth cardiopulmonary resuscitation (CPR) in neonates is very important and complex. Timely identification and rapid CPR for neonates in the delivery room significantly reduce mortality and other ne…
View article: Association Between Prevalence of Depression and Anxiety in Cystic Fibrosis Patients and Their Parents: A Cross-sectional Study in Iran
Association Between Prevalence of Depression and Anxiety in Cystic Fibrosis Patients and Their Parents: A Cross-sectional Study in Iran Open
Background: Patients with chronic diseases and their caregivers are at risk for mental disorders, such as depression and anxiety. Objectives: This study aimed to investigate the prevalence of depression and anxiety symptoms among cystic fi…
View article: In-birth CPR in neonates; Predictable or Unpredictable?
In-birth CPR in neonates; Predictable or Unpredictable? Open
Background: Anticipating on in-birth Cardiopulmonary Resuscitation(CPR) in neonates is very important and complex. Timely identification and rapid CPR in neonates in the delivery room significantly affect reducing the mortality and other n…
View article: Designing a Data Mining System to Predict Treatment-Requiring Retinopathy of Prematurity in Neonates: A Pilot Study
Designing a Data Mining System to Predict Treatment-Requiring Retinopathy of Prematurity in Neonates: A Pilot Study Open
Background: Nowadays with advanced improvement in NICUs, more preterm infants are surviving with more risks related to ROP. Objectives: The aim of the present study was to collect ROP risk factors and design data mining techniques to sugge…
View article: Machine Learning Based Methods for Handling Imbalanced Data in Hepatitis Diagnosis
Machine Learning Based Methods for Handling Imbalanced Data in Hepatitis Diagnosis Open
Introduction: Hepatitis C virus is the leading cause of mortality from liver disease. Also, diagnosis systems are usable tools for better disease control and management. The aim of this study was to design an HCV disease prediction system …
View article: Developing an Intelligent System for Prediction of Optimal Dose of Warfarin in Iranian Adult Patients with Artificial Heart Valve
Developing an Intelligent System for Prediction of Optimal Dose of Warfarin in Iranian Adult Patients with Artificial Heart Valve Open
Introduction: Artificial intelligence (AI) research within medicine is growing rapidly. AI is poised to transform medical practice. AI has been studied in several areas of healthcare and medical practice, including diagnosing, treating and…
View article: A Comparison Between Fuzzy Type-1 and Type-2 Systems in Medical Decision Making: A Systematic Review
A Comparison Between Fuzzy Type-1 and Type-2 Systems in Medical Decision Making: A Systematic Review Open
Objectives: Fuzzy logic is considered a powerful instrument for dealing with uncertainty and is implemented in both type-1 and type-2 ways. The expert systems (ESs) and decision support systems (DSSs) are applied based on type-1 and type-2…
View article: Developing a decision support system for osteoporosis Prediction
Developing a decision support system for osteoporosis Prediction Open
Introduction: Osteoporosis is a common disease in women. Osteoporosis fractures may cause irreparable damages; therefore, early diagnosis and treatment before fractures is an important issue. The ojectiveof this study was to develop a deci…
View article: Developing a decision support system for osteoporosis Prediction
Developing a decision support system for osteoporosis Prediction Open
Introduction:Osteoporosis is a common disease in women.Osteoporosis fractures may cause irreparable damages; therefore, early diagnosis and treatment before fractures is an important issue.The ojectiveof this study was to develop a decisio…
View article: Dosing of Warfarin in Iranian Adult Patients with An Artificial Heart Valve Using Artificial Neural Networks
Dosing of Warfarin in Iranian Adult Patients with An Artificial Heart Valve Using Artificial Neural Networks Open
Background and Aim: Artificial intelligence is a branch of computer science that has the ability of analyzing complex medical data. Using artificial intelligence is common in diagnosing, treating and taking care of patients. Warfarin is on…
View article: A novel method for fuzzy diagnostic system design
A novel method for fuzzy diagnostic system design Open
Background: In recent years, liver disorders have been continuously increased. Proper performance of data mining techniques in decision-making and forecasting caused to use them commonly in designing of automatic medical diagnostic …
View article: Evaluation of the Effect of Feature Selection and Different kernel Functions on SVM Performance for Breast Cancer Diagnosis
Evaluation of the Effect of Feature Selection and Different kernel Functions on SVM Performance for Breast Cancer Diagnosis Open
Introduction: Breast cancer is one of the most common cancers affecting women. In mammography, differentiating a malignant tumor from a benign one is a very tedious task due to their structural similarities. Machine Learning (ML) is a subf…
View article: Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model
Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model Open
Introduction: The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot descr…
View article: Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model
Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model Open
Introduction: The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot descr…
View article: A Method for Body Fat Composition Analysis in Abdominal Magnetic Resonance Images Via Self-Organizing Map Neural Network
A Method for Body Fat Composition Analysis in Abdominal Magnetic Resonance Images Via Self-Organizing Map Neural Network Open
Introduction: The present study aimed to suggest an unsupervised method for the segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in axial magnetic resonance (MR) images of the abdomen. Materials and Metho…
View article: A fuzzy rule-based expert system for diagnosing cystic fibrosis
A fuzzy rule-based expert system for diagnosing cystic fibrosis Open
The system is equipped with information, knowledge, and expertise from certified specialists; hence, as a training tool it can be useful for new physicians. It is worth mentioning that the accomplishment of this project depends on advocacy…
View article: Designing a Diagnostic System of Patients Suspected with Glaucoma Using Retinal Fundus Images
Designing a Diagnostic System of Patients Suspected with Glaucoma Using Retinal Fundus Images Open
Introduction: Glaucoma is one of eye diseases and is a group of disorders that cause damages to optic nerve. If it does not cure; it can lead to permanent vision loss. There is no sign and pain for this disease and it appears in form of bl…
View article: Using of Natural Language Processing Techniques in Suicide Research
Using of Natural Language Processing Techniques in Suicide Research Open
It is estimated that each year many people, most of whom are teenagers and young adults die by suicide worldwide. Suicide receives special attention with many countries developing national strategies for prevention. Since, more medical inf…
View article: De-identification of Electronic Health Records Using Machine Learning Algorithms
De-identification of Electronic Health Records Using Machine Learning Algorithms Open
Introduction: Electronic Health Record (EHR) contains valuable clinical information that can be useful for activities such as public health surveillance, quality improvement, and research. However, EHRs often contain identifiable health in…
View article: MHEALTH TECHNOLOGY FOR DEAF AND HEARING LOSS INDIVIDUALS
MHEALTH TECHNOLOGY FOR DEAF AND HEARING LOSS INDIVIDUALS Open
Introduction: Hearing loss is one of the most commonly occurring sensory deficits affecting communities and is ranked as the third most prevalent nonfatal disabling condition.Using mobile devices in medical practice has become an emerging …
View article: VALIDATION OF CLUSTERING METHODS FOR MEDICAL DATA SETS
VALIDATION OF CLUSTERING METHODS FOR MEDICAL DATA SETS Open
Introduction: Data mining techniques have been increasingly applied to medical data in the past decade and are divided into two categories: predictive algorithms such as classification and descriptive algorithms such as clustering and asso…