Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques.

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 (ML) techniques to predict the desire to have children can offer a promising solution to address these challenges. Therefore, this study aimed to predict the childbearing tendency in women on the verge of marriage using ML techniques.

Utilization obstacles to hypertension services provided at comprehensive health centers: a content analysis study.

Introduction: Hypertensive patients' failure to refer to health centers for the management of their disease is the most fundamental public health challenge in most societies. The aim of this study was to identify the utilization obstacles to hypertension services provided at comprehensive health centers (CHCs) from the perspective of patients and the staff of health centers.

Methods: This was a qualitative study using conventional content analysis which was conducted in 2022.

The Integrated Electronic Health System in Iranian health centers: benefits and challenges.

Background: Electronic Health Records (EHRs) were introduced to all Iranian medical universities in 2015 with the launch of Integrated Electronic Health System (which is known as SIB: a Persian backronym in Persian meaning apple), and a number of studies were conducted on SIB. However, most of these studies did not consider the benefits and challenges of adopting SIB in Iran. Therefore, the present study aimed to identify the benefits and challenges of SIB in health centers of Khuzestan Province, Iran.

Systematic review on telemedicine platforms in lockdown periods: Lessons learned from the COVID-19 pandemic.

With the onset of the coronavirus disease 2019 (COVID-19) outbreak, the transformation of the care delivery model from conventional in-person (face to face) to largely virtual or remote care has been accelerated to appropriately allocate resources and constrain the spread of the virus. In this regard, telemedicine is a breakthrough technology to battle against the COVID-19 emergency. Therefore, we sought to identify the telemedicine applications in the COVID-19 pandemic (tele-COVID) according to interaction modes, transmission modalities, and disease categories.

Low Efficiency in a Five-Year Hospital Performance Assessment According to Pabon Lasso Model: State-Affiliated Hospitals of Abadan.

Background: A hospital consumes a large amount of health resources, and investigating hospital performance can increase hospital efficiency.

Method: This retrospective descriptive research analyzed data on performance of 6 hospitals in Abadan, Iran, during a five-year period (2015-2019), based on Graphical Model of Pabon Lasso.

Results: Findings suggested 16% of studied hospitals were in Zone 1, 50% were in Zone 3, and 33% were in Zone 4 of the Model.

Basic Occupational Health Services for Agricultural Workers in the South of Iran.

The agricultural sector has by far the world's largest labour force, there are more than one billion workers in this industry worldwide, which contains half of the total world labour force. On the other hand, agriculture is one of the most hazardous occupations, and many workers suffer occupational accidents and ill health each year. Farming and animal breeding are associated with exposure to a wide variety of risk factors, including zoonotic agents, dust, elements of the thermal environment, noise, vibration and chemicals.

Estimation of Short-term Mortality and Morbidity Attributed to Fine Particulate Matter in the Ambient Air of Eight Iranian Cities.

Amongst the various pollutants in the air, particulate matters (PM) have significant adverse effects on human health. The current research is based on existing epidemiological literature for quantitative estimation of the current health impacts related to particulate matters in some selected principal Iranian megacities. In order to find the influence of air pollution on human health, we used the AirQ software tool presented by the World Health Organization (WHO) European Centre for Environment and Health (ECEH), Bilthoven Division.