A mobile application for postoperative education of caregivers of children with congenital hypospadias: Requirement analysis.

Background And Aims: Hypospadias, a congenital anomaly, can have long-term effects on sexual, urinary, and reproductive functions, making proper postoperative care essential for desirable outcomes, which could be facilitated through a mobile application for diseases with long-term complications. The aim of this study was to investigate the data and functional requirements or minimum data set of a postoperative education mobile application for caregivers of children with hypospadias.

Methods: A literature review of papers published until April 2023 using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was conducted to determine the data and functional requirements of a mobile application that provides postoperative education to caregivers of children with congenital hypospadias.

Situation analysis model of hospital emergency department promotion in Iran: A cross-sectional study.

Background And Aim: The present study was conducted to develop a situation analysis model for Iran's hospitals' emergency departments (EDs).

Methods: The current research was a descriptive cross-sectional applied study in three stages. The studies were reviewed in various library resources and valid sites in the first stage.

Predicting the mortality of patients with Covid-19: A machine learning approach.

Background And Aims: Infection with Covid-19 disease can lead to mortality in a short time. Early prediction of the mortality during an epidemic disease can save patients' lives through taking timely and necessary care interventions. Therefore, predicting the mortality of patients with Covid-19 using machine learning techniques can be effective in reducing mortality rate in Covid-19.

Self-care for coronavirus disease through electronic health technologies: A scoping review.

Background And Aims: Considering the rapid spread and transmission of COVID-19 and its high mortality rate, self-care practices are of special importance during this pandemic to prevent and control the spread of the virus. In this regard, electronic health systems can play a major role in improving self-care practices related to coronavirus disease. This study aimed to review the electronic health technologies used in each of the constituent elements of the self-care (self-care maintenance, self-care monitoring, and self-care management) during the COVID-19 pandemic.

Challenges of implementing diagnostic-related groups and healthcare promotion in Iran: A strategic applied research.

Background And Aim: Implementing the diagnostic-related groups (DRGs) promotes the efficiency of healthcare. Therefore, the present study aimed to identify the challenges facing implementing the DRGs in Iran.

Methods: The present study is a strategic applied research conducted in two phases.

Prognosis of COVID-19 patients using lab tests: A data mining approach.

Background: The rapid prevalence of coronavirus disease 2019 (COVID-19) has caused a pandemic worldwide and affected the lives of millions. The potential fatality of the disease has led to global public health concerns. Apart from clinical practice, artificial intelligence (AI) has provided a new model for the early diagnosis and prediction of disease based on machine learning (ML) algorithms.

A concise review on factors influencing the hematopoietic stem cell transplantation main outcomes.

Background And Aims: As a curative procedure, hematopoietic stemcell transplantation (HSCT) is an approved treatment for many malignant orbenign hematologic and non-hematologic diseases. There are different outcomes of HSCT, as well as several parameters influencing these outcomes.

Methods: We had searched scientific sources like Web ofScience and PubMed with a combination of keywords such as HSCT, engraftment,survival, outcomes, etc.

Quality of life among infertile women living in a paradox of concerns and dealing strategies: A qualitative study.

Aim: The current work investigated the issues that cause apprehension in infertile women, the effects of this disquiet on their quality of life and the strategies that they adopt in dealing with their concerns.

Design: The qualitative research.

Method: This qualitative research sampled participants from a training centre in Mazandaran University of Medical Sciences and a privately owned infertility centre in Mazandaran Province, north of Iran.

Intelligent Computer Systems for Multiple Sclerosis Diagnosis: a Systematic Review of Reasoning Techniques and Methods.

Objective: Intelligent computer systems are used in diagnosing Multiple Sclerosis and help physicians in the accurate and timely diagnosis of the disease. This study focuses on a review of different reasoning techniques and methods used in intelligent systems to diagnose MS and analyze the application and efficiency of different reasoning methods in order to find the most efficient and applicable methods and techniques for MS diagnosis.

Methods: A complete research was carried out on articles in various electronic databases based on Mesh vocabulary.