Publications by authors named "E Akbal"

Objectives: The aim of this study was to determine the daily nursing care times of hospitalized inpatient oncology unit patients according to degree of acuity using the Perroca Patient Classification tool.

Data Sources: This study used a mixed method sequential explanatory design. The "Nursing Activity Record Form" and "Perroca Patient Classification Instrument" were used for quantitative data collection, and direct observation was performed for 175 hours via time-motion study.

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Objective: The COVID-19 pandemic may have significant effects on fear of childbirth among women undergoing a high-risk pregnancy. This study sought to determine the relationship between the COVID-19 obsession and anxiety levels of women with high-risk pregnancies and their fear of childbirth.

Methods: A total of 326 hospitalized women with high-risk pregnancies were evaluated between March 2021 and March 2022.

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Background: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the type of CH is a very crucial step in treatment. Therefore, CH requires a prompt and accurate diagnosis. To simplify this process, an accurate CH classification model is presented using a machine learning technique.

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The acquisition of habitual bipedal locomotion, which resulted in numerous modifications of the skeleton was a crucial step in hominid evolution. However, our understanding of the inherited skeletal modifications versus those acquired while learning to walk remains limited. We here present data derived from X-rays and CT scans of quadrupedal adult humans and compare the morphology of the vertebral column, pelvis and femur to that of a bipedal brother.

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Background: Colorectal cancer is one of the most commonly diagnosed types of cancer worldwide. An early diagnosis and detection of colon cancer and polyp can reduce mortality and morbidity from colorectal cancer. Even though there are a variety of options in screen- ing tests, the question remains on which test is the most effective for the early detection of colorectal cancer.

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