Hadi Kazemi-Arpanahi
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View article: Determining the affecting predictors on successful aging among older adults in Iran
Determining the affecting predictors on successful aging among older adults in Iran Open
BACKGROUND: The aging population and changing social trends have led to the concept of successful aging (SA), which promotes a positive view of aging. However, SA is a complex, multidimensional, and interdisciplinary concept, making its de…
View article: Predicting ICU Stay Duration for Hemodialysis Patients with Poisoning: A Study Comparing Deep Learning with Machine Learning Models
Predicting ICU Stay Duration for Hemodialysis Patients with Poisoning: A Study Comparing Deep Learning with Machine Learning Models Open
View article: Comparing the effect of pre-anesthesia clonidine and tranexamic acid on intraoperative bleeding volume in rhinoplasty: a machine learning approach
Comparing the effect of pre-anesthesia clonidine and tranexamic acid on intraoperative bleeding volume in rhinoplasty: a machine learning approach Open
View article: Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tomography Severity Score Data
Development of Machine Learning Prediction Models to Predict ICU Admission and the Length of Stay in ICU for COVID‑19 Patients Using a Clinical Dataset Including Chest Computed Tomography Severity Score Data Open
Objective: The chest computed tomography severity score (CT-SS) is significantly associated with the severity of the disease and subsequently intensive care unit (ICU) admission in coronavirus disease-19 (COVID-19) patients. However, there…
View article: Effectiveness of tailored educational content on improving nurses’ clinical performance in cardiac surgery wards: a mixed-methods study
Effectiveness of tailored educational content on improving nurses’ clinical performance in cardiac surgery wards: a mixed-methods study Open
Cardiac surgery, a complex and high-risk medical procedure, requires specialized nursing expertise. The significance of nurses’ performance in this field is paramount due to the potential consequences of errors. Therefore, nurses in cardia…
View article: The effect of aromatherapy and music therapy on blood pressure and heart rate of nursing students before taking the exam
The effect of aromatherapy and music therapy on blood pressure and heart rate of nursing students before taking the exam Open
Anxiety associated with taking exams jeopardizes students' mental and physical health. Complementary alternative methods, such as aromatherapy and music therapy, have shown promise in reducing negative emotions among students. However, few…
View article: Determining the required data elements to develop the information management system for Iranian traditional medicine
Determining the required data elements to develop the information management system for Iranian traditional medicine Open
View article: Investigating the Association Between Hypothyroidism and Gallstones in Blood Groups: A Case-Control Study
Investigating the Association Between Hypothyroidism and Gallstones in Blood Groups: A Case-Control Study Open
Background: Extensive research has explored the potential correlation between thyroid disorders and gallstone disease. The relationship between hypothyroidism and gallstone formation in individuals with different blood types has garnered s…
View article: Determining the minimum data set of geriatric assessment at the Iran primary health care referral system: shifting from fragmentation to integration care for older people
Determining the minimum data set of geriatric assessment at the Iran primary health care referral system: shifting from fragmentation to integration care for older people Open
View article: Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques
Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques Open
The declining fertility rate and increasing marriage age among girls pose challenges for policymakers, leading to issues such as population decline, higher social and economic costs, and reduced labor productivity. Using machine learning (…
View article: Developing an intelligent prediction system for successful aging based on artificial neural networks
Developing an intelligent prediction system for successful aging based on artificial neural networks Open
Background: Due to the growing number of disabilities in elderly, Attention to this period of life is essential to be considered. Few studies focused on the physical, mental, disabilities, and disorders affecting the quality of life in eld…
View article: Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms
Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms Open
Introduction The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population aging. SA is a subje…
View article: Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms? Open
View article: Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data
Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data Open
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 patients. The prognostic performances of the machine lear…
View article: Factors influencing quality of life among the elderly: An approach using logistic regression
Factors influencing quality of life among the elderly: An approach using logistic regression Open
BACKGROUND: Improving the physical, psychological, and social factors in the elderly significantly increases the QoL 1 among them. This study aims to identify the crucial factors for predicting QoL among the elderly using statistical metho…
View article: Diagnosis and Treatment of Coagulopathy Caused by the New Coronavirus: A Systematic Review and Meta-Analysis Protocol
Diagnosis and Treatment of Coagulopathy Caused by the New Coronavirus: A Systematic Review and Meta-Analysis Protocol Open
Background: The new coronavirus is an agent of respiratory infections associated with thrombosis in vital organs. This study aimed to propose a better diagnosis and treatment of coagulation disorders caused by the new coronavirus (Covid-19…
View article: Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study Open
Background Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the best treatment plan ba…
View article: Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors Open
Background Gastric cancer is one of the leading causes of death worldwide. Screening for gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and pose financial burdens. Thus, the prevention of the disease by…
View article: Predicting intubation risk among COVID-19 hospitalized patients using artificial neural networks
Predicting intubation risk among COVID-19 hospitalized patients using artificial neural networks Open
BACKGROUND: Accurately predicting the intubation risk in COVID-19 patients at the admission time is critical to optimal use of limited hospital resources, providing customized and evidence-based treatments, and improving the quality of del…
View article: Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19
Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19 Open
View article: Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms
Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms Open
The hybrid ML models, especially the GA-SVM, can improve the treatment of COVID-19 patients, predict severe disease and mortality, and optimize the utilization of health resources based on the improvement of input features and the adaption…
View article: Prediction of successful aging using ensemble machine learning algorithms
Prediction of successful aging using ensemble machine learning algorithms Open
View article: Developing the minimum data set of the corrosive ingestion registry system in Iran
Developing the minimum data set of the corrosive ingestion registry system in Iran Open
View article: Proposing an Intelligent Monitoring System for Early Prediction of Need for Intubation among COVID-19 Hospitalized Patients
Proposing an Intelligent Monitoring System for Early Prediction of Need for Intubation among COVID-19 Hospitalized Patients Open
Introduction: Predicting acute respiratory insufficiency due to coronavirus disease 2019 (COVID-19) can diminish the severe complications and mortality associated with the disease. This study aimed to develop an intelligent system based on…
View article: Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia
Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia Open
Introduction Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from the translocation of chromosomes 19 and 22. CML includes 15–20% of all cases of leukemia. Although bone marrow transplant and, more recently, tyros…
View article: Association of chest CT severity score with mortality of COVID-19 patients: a systematic review and meta-analysis
Association of chest CT severity score with mortality of COVID-19 patients: a systematic review and meta-analysis Open
View article: Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran
Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran Open
View article: Predictive modeling for COVID-19 readmission risk using machine learning algorithms
Predictive modeling for COVID-19 readmission risk using machine learning algorithms Open
View article: Establishing a minimum data set for suicide and attempted suicide registry system in Iran
Establishing a minimum data set for suicide and attempted suicide registry system in Iran Open
View article: Survey of the patients' perspectives and preferences in adopting telepharmacy versus in-person visits to the pharmacy: a feasibility study during the COVID-19 pandemic
Survey of the patients' perspectives and preferences in adopting telepharmacy versus in-person visits to the pharmacy: a feasibility study during the COVID-19 pandemic Open
Background Following the coronavirus disease 2019 (COVID-19) pandemic, the health authorities recommended the implementation of strict social distancing and complete lockdown regulations to reduce disease spread. The pharmacists quickly ad…