Search results for "Kappa index"
showing 3 items of 3 documents
In the Identification of Cardiovascular Risk With the SCORE Model, Could We Recommend Its Calculation Interchangeably With Total Cholesterol or Ather…
2011
The SCORE table indiscriminately recommends the use of total cholesterol (SCORE-TC) or atherogenic index (SCORE-AI) for calculating cardiovascular (CV) risk. We evaluated reliability and agreement between both methods and the clinical implications for the identification of high CV risk. Observational study (n = 8942) in a 40- to 65-year-old population. Spearman’s Rho correlation was 0.987 (P < .001), the agreement intraclass correlation coefficient was 0.671 (IC 95% 0.413–0.796; with Bland–Altman’s method, the average of the differences between models was 0.74. Kappa index was poor, 0.297 (P < .001) and positive specific agreement was 0.31. Discrepancies fitted individuals with high CV risk…
Experimental evidence of pharmacological management of anchorage in Orthodontics: A systematic review
2015
Introduction: Orthodontic anchorage is one of the most challenging aspects of Orthodontics. Preventing undesired movement of teeth could result in safer and less complicated orthodontic treatment. Recently, several reviews have been published about the effects of different molecules on bone physiology and the clinical side effects in Orthodontics. However, the effects of local application of these substances on the rate of orthodontic tooth movement have not been assessed.Objectives: The aim of this research was to analyze the scientific evidence published in the literature about the effects of different molecules on orthodontic anchorage.Methods: The literature was systematically reviewed …
Clasificación de usos del suelo a partir de imágenes Sentinel-2
2017
[EN] Sentinel-2 (S2), a new ESA satellite for Earth observation, accounts with 13 bands which provide high-quality radiometric images with an excellent spatial resolution (10 and 20 m) ideal for classification purposes. In this paper, two objectives have been addressed: to determine the best classification method for S2, and to quantify its improve-ment with respect to the SPOT operational mission. To do so, four classifiers (LDA, RF, Decision Trees, K-NN) have been selected and applied to two different agricultural areas located in Valencia (Spain) and Buenos Aires (Argentina). All classifiers were tested using, on the one hand, all the S2 bands and, on the other hand, only selecting those…