2013
DOI: 10.14257/ijbsbt.2013.5.5.06
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The Application Effect of a Medical Information Management System for the Prevention of Depression in Mastectomy Patients

Abstract: This study was conducted to examine the application effect of a medical information management system for the prevention of depression in mastectomy patients. The subjects were divided into an experimental group (n=62) and a control group (n=62). To verify the effects of the information mediation, this study used a progress method for measurement in the form of an application test and a follow-up test. The results of this study are as follows: First, it showed significantly the factors of health behavior on de… Show more

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Cited by 38 publications
(5 citation statements)
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“…The finding was similar to the previous studies on the intestine disease [14,15]. Current practice of exercise in patients with Crohn's disease were obtained through intervention of information system.…”
Section: Discussionsupporting
confidence: 88%
“…The finding was similar to the previous studies on the intestine disease [14,15]. Current practice of exercise in patients with Crohn's disease were obtained through intervention of information system.…”
Section: Discussionsupporting
confidence: 88%
“…Since the manual measurement of leaf veins is a time-consuming and labor-intensive task, it has been of great interest to automate the process. In recent years, automatic leaf vein segmentation has been performed with classic computer vision approaches [8], [9], [10], [11], traditional machine-learning approaches with hand-crafted feature extraction [12], [13], [14] as well as few deep learning approaches [15].…”
Section: Related Work a Leaf Vein Extraction In Laboratory Settingsmentioning
confidence: 99%
“…In 2013, Lee etc. [6] proposed a leaf recognition system using the leaf vein and shape that can be used for plant classification. The proposed approach used main vein and frequency domain data based on Fast Fourier Transform (FFT) methods with distance between contour and centroid on the detected leaf image.…”
Section: Related Workmentioning
confidence: 99%