21 research outputs found

    Confusion matrix.

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    <p>Confusion matrix.</p

    LDA—Coefficients of discriminant factor son the two discriminant function axes, for each year predicted.

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    <p>LDA—Coefficients of discriminant factor son the two discriminant function axes, for each year predicted.</p

    Correlation matrix (delays in parentheses when applied).

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    <p>Correlation matrix (delays in parentheses when applied).</p

    Ward’s clustering method (dendrogram) consolidated by k-means classification (colored individuals)

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    <p>Ward’s clustering method (dendrogram) consolidated by k-means classification (colored individuals)</p

    Predictive LDA- Confusion matrix, for each predicted year.

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    <p>Predictive LDA- Confusion matrix, for each predicted year.</p

    Descriptive statistics of epidemic and meteorological variables.

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    <p>Descriptive statistics of epidemic and meteorological variables.</p

    Evolution of meteorological variable values from the first week of 2007 to 8<sup>th</sup> week of 2015

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    <p>Evolution of meteorological variable values from the first week of 2007 to 8<sup>th</sup> week of 2015</p

    Projection of variables on the first two PCA factorials.

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    <p>IAH = Influenza-Associated Hospitalizations; ED = Emergency Department; AH = Absolute Humidity; SR = Solar Radiation; T = Temperature.</p

    Evolution of Influenza-Associated Hospitalizations (IAH) and Sentinelles data from the first week of 2007 to 8<sup>th</sup> week of 2015

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    <p>Evolution of Influenza-Associated Hospitalizations (IAH) and Sentinelles data from the first week of 2007 to 8<sup>th</sup> week of 2015</p

    Predicting Fluctuating Rates of Hospitalizations in Relation to Influenza Epidemics and Meteorological Factors - Fig 3

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    <p>A: Influenza-Associated Hospitalizations (IAH) boxplot according to age groups; B: Boxplots of influenza incidence values (from Sentinelles network) by age groups.</p
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