ABSTRACT
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 and 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
ABSTRACT
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.
ABSTRACT
A case of malaria infection in a 42-year-old woman in rural area of Mahmodabad, Mazandaran Province, North Iran was reported and discussed elaborately. She was complaining about recurrent fevers, sweating, headache and myalgia in back. After her first admission to hospital due to misdiagnose she did not receive proper treatment and the patient suffered from clinical manifestations again. Eventually in the second admission to another hospital, after a precise examination on her thick and thin blood smear the agent of disease was recognized appropriately as Plasmodium vivax and treated accordingly.