Deep Learning Model Detecting Pressure Injury

"Application in Control Group: After the theoretical lesson, the nurses in the control group determined and classified the pressure injuries in their patients using the Braden Risk Assessment Scale, which has been accepted as valid and reliable. The nurses in the control group, who determined the pressure injuries using the scale, were given training on the determination and classification of pressure injuries using written material, the content of which was prepared by the researchers. After the training, the Satisfaction with the Training Method Survey was applied to the nurses. One week after the training, the nurses were given the Post-Test ( Modified Pieper Pressure Sore Knowledge Test) was applied. After the completion of the application, volunteer nurses from the control group were subjected to pressure injury detection and classification with the deep learning model and trained with the mobile application."

"Application in the Experimental Group: After the theoretical course, the nurses in the experimental group detected and classified pressure injuries in their patients with the Deep Learning Model. In the experimental group, a mobile application developed by the researchers was installed on the phones of the nurses who detected pressure injuries using the deep learning model and training was applied. Thus, the nurses were provided with the patient's care and treatment according to the developed mobile application according to the pressure injury stage detected by the deep learning model. After the training, the Satisfaction Survey with the Training Method was applied to the nurses. 1 week after the training, the nurses were given the Post-Test ( Modified Pieper Pressure Sore Knowledge Test) was applied"