Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2002
Performance evaluation of artificial intelligence classifiers for the medical domain.
The application of artificial intelligence systems is still not widespread in the medical field, however there is an increasing necessity for these to handle the surfeit of information available. One drawback to their implementation is the lack of criteria or guidelines for the evaluation of these systems. ⋯ This paper shows evidence that the most prevalent form of intelligent system, neural networks, is generally not being evaluated rigorously regarding classification precision. A taxonomy of the types of evaluation tests that can be carried out, to gauge inherent performance of the outputs of intelligent systems has been assembled, and the results of this presented in a clear and concise form, which should be applicable to all intelligent classifiers for medicine.
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Stud Health Technol Inform · Jan 2002
The incidence of idiopathic scoliosis in Greece--analyais of domestic school screening programs.
The aim of the study is the documentation of the national incidence of idiopathic scoliosis (IS) based on the School Screening programs performed at the various geographical departments of the country, and the estimation of the probable number of children who will need to be conservatively or surgically treated. ⋯ From data of 1998 national census, the population of children aged 8 to 14 years old was approximately 751000. With the above -mentioned datum and with a national mean scoliosis incidence of 2.9%, (Cobb angle > or = 10 degrees), 21781 children will be found with scoliosis. 980 will need conservative treatment using a brace while 41 children will need surgical treatment.
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Stud Health Technol Inform · Jan 2001
3D visualization and stereographic techniques for medical research and education.
While computers have been able to work with true 3D models for a long time, the same does not apply to the users in common. Over the years, a number of 3D visualization techniques have been developed to enable a scientist or a student, to see not only a flat representation of an object, but also an approximation of its Z-axis. In addition to the traditional flat image representation of a 3D object, at least four established methodologies exist: Stereo pairs. ⋯ While the system requires very expensive hardware, it solves some of the more important problems mentioned above, such as the capacity to use higher frame rates and the ability to display images to a large audience. Mednet has instigated a research project which uses reconstructed models from the central nervous system (human brain and basal ganglia, cortex, dendrites and dendritic spines) and peripheral nervous system (nodes of Ranvier and axoplasmic areas). The aim is to modify the models to fit the different visualization techniques mentioned above and compare a group of users perceived degree of 3D for each technique.
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In today's ICUs clinicians routinely integrate huge numbers of discrete data points to arrive at a coherent picture of their patients' status. Often the clinician must obtain those data elements from many devices, which makes the problem more difficult. Because presenting data visually amplifies cognition by capitalizing on well-known human perceptual capabilities, it is not surprising that a growing body of research is directed at the effective presentation of visual information in clinical displays. ⋯ We recently used CWA to analyze the information needs for interactive graphical displays that will integrate and represent data in structures that help clinicians visualize a patient's physiological status. We found that the analysis was an effective way to identify information needs at multiple levels. Based on our experience, CWA is a generic methodology that is highly applicable to medical informatics.