Objectives: To report the Cesarean section rate in Al-
Batool Maternity Teaching Hospital and to identify
how many of them were done for maternal and fetal
condition.
Design: A statistical cross sectional study.
Setting: The study was conducted at Al-Batool
Maternity Teaching Hospital (13000 deliveries per
year).
Participants: The patients group consists of 4556
patients admitted for delivery (vaginal and abdominal)
during a period of four months commencing from
January 2003.
Main outcome measures: calculation of all live
births, calculation of cesarean section rate, percentage
of the primary cesarean sections and the repeat
cesarean sections and listing the indications of the
operation according to maternal and fetal condition
with their percentage.
Results: Total births during the period of this study
were 4556 births, 3732 vaginal deliveries and 824
cesarean sections. Cesarean section rate was found to
be 17.94% of total live births, the most frequent
indication for cesarean section was malpresentation
(24.3%). Primary cesarean sections contribute to 75%
of cases.
Conclusions: A primary cesarean section is one of the
most important causes of high cesarean section rate.
Decreasing the incidence of primary operations will
help in reducing cesarean section rate.
—Medical images have recently played a significant role in the diagnosis and detection of various diseases. Medical imaging can provide a means of direct visualization to observe through the human body and notice the small anatomical change and biological processes associated by different biological and physical parameters. To achieve a more accurate and reliable diagnosis, nowadays, varieties of computer aided detection (CAD) and computer-aided diagnosis (CADx) approaches have been established to help interpretation of the medical images. The CAD has become among the many major research subjects in diagnostic radiology and medical imaging. In this work we study the improvement in accuracy of detection of CAD system when comb
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In this paper, membrane-based computing image segmentation, both region-based and edge-based, is proposed for medical images that involve two types of neighborhood relations between pixels. These neighborhood relations—namely, 4-adjacency and 8-adjacency of a membrane computing approach—construct a family of tissue-like P systems for segmenting actual 2D medical images in a constant number of steps; the two types of adjacency were compared using different hardware platforms. The process involves the generation of membrane-based segmentation rules for 2D medical images. The rules are written in the P-Lingua format and appended to the input image for visualization. The findings show that the neighborhood relations between pixels o
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This paper considers and proposes new estimators that depend on the sample and on prior information in the case that they either are equally or are not equally important in the model. The prior information is described as linear stochastic restrictions. We study the properties and the performances of these estimators compared to other common estimators using the mean squared error as a criterion for the goodness of fit. A numerical example and a simulation study are proposed to explain the performance of the estimators.
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Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave.
This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected
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... Show MoreThe present paper deals with medical terms translation and its relationship with the medical text of Arabic and Spanish. Medical translation is the process of transferring texts related to the field of health and medicine to achieve an accurate effective translation from the source language text to the equivalent target language text. The most prominent medical translations are from English to Arabic as most of the syllabuses in Arab countries are taught in English.
Translation is an innovative work intended to render the original text in the source language into the target language with the highest level of linguistic and intellec
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