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  • 1990-1994  (2)
  • 1960-1964
  • Importance  (1)
  • artificial intelligence  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Automatic delineation of drainage basins within digital elevation data using the topographic primal sketch (1990)
    Springer
    Mathematical geology 22 (1990), S. 189-209 
    Details
    ISSN: 1573-8868
    Keywords: artificial intelligence ; topographic analysis ; image analysis ; drainage networks
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A new technique for automatic delineation of drainage basin perimeters within digital elevation data is described which applies the topographic primal sketch to digital terrain data, and is much more natural and much more efficient than usual methods that rely upon moving a window over the array of data. This method is able to find drainage channels, mark water flow direction, and recover drainage basin areas. Results appear to be comparable to drainage patterns which can be interpreted visually from contours of the elevation data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00891823
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Relationship between severity and clinical importance of symptoms in osteoarthritis (1991)
    Springer
    Clinical rheumatology 10 (1991), S. 138-143 
    Details
    ISSN: 1434-9949
    Keywords: Clinical Metrology ; Importance ; Osteoarthritis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Seventeen patients with primary osteoarthritis of the knee were evaluated with respect to the severity and clinical importance of pain, stiffness and physical function during the conduct of a double-blind randomized controlled trial of flurbiprofen SR versus diclofenac sodium SR using the WOMAC Osteoarthritis Index. Mean importance scores were similar for items within the same dimension as well as between items in different dimensions. In general, low levels of correlation were noted between the severity and importance of symptoms. Analysis of individual WOMAC items within a given subscale indicated that, although highly correlated, they differed from one another. Factor analysis further supported the contention that scores from items within a subscale could be summated into subscale scores. These observations are of importance in the weighting and aggregation of items within discrete dimensions and have the potential for reducing sample size requirements for clinical trials in osteoarthritis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02207652
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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