introduction: health care classifications are essential tools for collecting and processing health-related information. they also provide a unified language for interdisciplinary communications. nursing data is important for extension of knowledge, evaluating the quality and effectiveness of nursing care, and supporting human resource planning. therefore, an integrated system for collecting, st...

Medical Image segmentation is to partition the image into a set of regions that are visually obvious and consistent with respect to some properties such as gray level, texture or color. Brain tumor classification is an imperative and difficult task in cancer radiotherapy. The objective of this research is to examine the use of pattern classification methods for distinguishing different types of...

background: los angeles classification is widely adopted as a means of unifying endoscopic observation for gerd. we assessed the inter- and intra-observer variability of la classification. materials and methods: two-hundred fifty-four still images of the lower esophagus taken by an expert endoscopist (rm) were randomly selected and presented to 9 gastroenterologists (2 females, 6 experts, 3 tra...

In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which cont...

objectives: cerebral palsy (cp) describes a group of disorders in the development of movement and posture in the developing brain. the main aim of this study was to determine the distribution of motor impairment and associated disorders in a population of children with cp. methods: this study was carried out in 2011 during three months, on 200 cp children. multiple sources of ascertainment were...