STUDY ON FACTORS AFFECTING MORTALITY IN PATIENTS WITH BRAIN TRAUMATIC INJURIES RESULTING FROM TRAFFIC ACCIDENT BY USING DATA MINING

Introduction: One of the most important health problems is road traffic accident. Brain traumatic injury caused by crashes is the first cause of mortality among young people. Capabilities of Data Mining methods to find factor affecting and the prediction therapeutic outcomes leads to the improvement and effectiveness of the services. The aim of this study was to find the Factors affecting mortality in patients with brain traumatic injuries resulting from traffic accident by using the C5.0 decision tree and Bayesian network data mining methods. Methods: In this cross-sectional study, the population of this study was 106 records of patients with brain traumatic injury caused by traffic accident referred to Khatam-al-Anbia hospital in Zahedan city. Data were collected with a researcher-made checklist that was prepared in consultation with experts in this field and review of previous studies. The validity of this checklist was confirmed by three health information technology experts. Data were analyzed by using two software SPSS MODELER 18.0 and SPSS Statistics 24. Results:  The accuracy of C5.0 decision tree and Bayesian network were 84.9% and 74.5% obtained. The most important variables that affect the death of accidental patients include Type of lesions, the work of the person in an accident (driver, passenger, pedestrian), accident location (inside or outside the city), and age of the patient. According to the result of this study, the type of lesions with the cause of death (p-value=0.024) is statistically significant. Conclusion: The results of C5.0 decision tree and Bayesian network showed the most important and effective variable is type of lesions. Hence, by predicting the factors affecting in death of brain traumatic patients, healthcare provider with timely action can reduce the death and irreparable of  injuries to these patients.   &nbsp

A Survey of Graduate and Postgraduate Students’ Perspective on the Use of E-learning Technology in Kerman University of Medical Sciences in 2017

Background: E-learning is one of the new methods of education that helps to increase people’s knowledge and performance by using new technologies. Objectives: The purpose of this study was to investigate the attitude of graduate and postgraduate students of Kerman University of Medical Sciences toward using e-learning technology. Methods: This cross-sectional study was carried out among graduate and postgraduate students of Kerman University of Medical Sciences in autumn 2017. The data were collected by a researcher-made questionnaire whose validity and reliability was verified (α = 0.82). Data were analyzed using descriptive and analytical tests (including t-test, ANOVA, and Spearman correlation) to investigate the relationship between the mean score of e-learning usefulness and students’ demographic information in SPSS software. Results: About 80% of e-learning students found it a good tool for the exchange of information and educational content between faculty and students at different universities and more than 40% believed that e-learning could improve the quality of education. About 57% of the participants were interested in using the technology. More than 70% of the students reported e-learning to be useful. Also, there was a significant relationship between the mean score of the usefulness of e-learning with age (P = 0.049), computer use skill (P = 0.025), and mobile use skill (P <0.001). Conclusion: From the students’ perspective, using e-learning technology is useful and it saves time and costs and improves the quality of their education. It also makes it easier for students to answer their questions later. Therefore, it may be better to use this technology besides the traditional method to make it more effective. Keywords: Electronic learning, Online education, Perspective, Student

An investigation of data mining techniques of the performance of a decision tree algorithm for predicting causes of traumatic brain injuries in Khatamolanbya Hospital in Zahdan city, 2012 to 2013

Introduction: The aim of this study was to determine the performance of data mining techniques for predicting the causes of traumatic brain injuries in Khatamolanbya hospital, Zahdan city. Method: In this cross–sectional, the study population included all patients who died of brain injury. Data were collected by the use of a researcher- made check list, provided under the direct observation of authorities in this area and analyzed by the data mining software of Clementine 12.0. Results: According to the results of this algorithm, C5.0 decision tree algorithm has an accuracy of 81.4 percent, the highest precision; then, the algorithm is C & R(The Classification and Regression) with 77.8 percent. Conclusion: Overall, it can be concluded from the decision tree algorithm that age is one of the leading causes of traumatic brain injuries . The results showed that all the cases involving traumatic lesions of the brain lead to the patient’s death.. Although in some algorithms, some of the variables are important, they cannot be used alone as the main variable to be taken into account for the death of the patient

Striving for Being in the Line of Life: Personal Active Ageing Strategies in Iranian Seniors

Active ageing is a multidimensional, relative, and context-dependent concept with different paths and outcomes. This qualitative study aimed to explore personal active aging strategies in a specific context. Following a directed thematic analysis procedure, we conducted semi-structured individual interviews with 39 seniors (men and women) between the ages of 60-97 years selected with purposeful sampling, data collection and analysis were concurrent. We used directed content analysis to analyze the data from interviews, written narratives, and field notes. The reliability of data was fulfilled following Lincoln and Guba criteria. We stopped data collection when no new concepts were added, and data saturation occurred. Based on the experience of seniors, we identified four categories: (a) Reventive, (b) Coping, (c) Internal Self-Control, and (d) Opportunity Exploiting Strategies. These described the active aging strategies when encountering age-related change. Utilizing these strategies, the senior accompanied the lifetime. The finding suggests that active aging is a continuous process in confronting age-related change. The identified strategies can help promote active aging by familiarizing the elderly with opportunities of life and training them in how to use these strategies

Malaria or flu? A case report of misdiagnosis

We present and discuss elaborately a case of malaria misdiagnosis in a 27-year-old woman in Chalus, Mazandaran Province, North Iran in 2013. The patient has been complaining of fever, shivering and myalgia for three months. Although she visited two physicians during this time, the problem still remained owing to misdiagnose. Eventually in hospital after a precise examination on her thick and thin blood film, the causative agent of disease was diagnosed as plasmodium vivax. The patient received treatment accordingly and all clinical manifestations were vanished

The role of geographic information system and global positioning system in dementia care and research: a scoping review

BACKGROUND: Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. METHODS: A scoping review was conducted based on Arksey and O’Malley’s framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. RESULTS: Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. CONCLUSIONS: Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-022-00308-1