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Fig. 6 | BMC Pregnancy and Childbirth

Fig. 6

From: A hierarchical procedure to select intrauterine and extrauterine factors for methodological validation of preterm birth risk estimation

Fig. 6

Fuzzy C-means clustering for the risk factors selected by Akaike Information Criterion (AIC) and cluster centroids description. We present three clusters obtained by fuzzy C-means method on the 9 most informative variables selected by AIC at the explanatory phase. We split mothers based on the high/low preterm birth risk classification and we show them in ascending order with respect to cluster 1 membership score (i.e. 0 = no membership; 1 = total membership). We also show the informative preterm birth risk factors for Cluster 1, 2 and 3. The centroids matrix is also provided as a Supplementary material

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