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This paper describes an interactive system written in APL designed to diagnose focal lesions of the brain. It uses essentially the same method we teach to medical students. First a patient's signs and symptoms are mapped onto a visual, three-dimensional representation of the brain. Then the selection of the correct diagnosis from the resulting large number of possible sites is obtained by choosing the intersection of the various pathways. The input to the model is a list of signs and symptoms. The output is a drawing of the brain with the resultant lesion indicated by cross-hatching.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |