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Objective: To determine whether fetal fibronectin (FFN) or cytokine concentrations in cervicovaginal secretions can be used to predict term labor and post-term pregnancy.
The ability to predict term labour within 3 days of onset utilising the interleukin-1 family of cytokines (IL1A, IL1B, and IL1RN) was assessed by Heng et al. [ 70].
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An exact match between a predicted term and the corresponding true GO term for a protein indicates a correct prediction; and wrong prediction otherwise.
To date, a gold standard for predicting term birth weight has not yet been established [ 12– 12].
Table 3 shows that character n-gram similarity was among the most effective features for predicting term variations.
Nahum et al. assessed 20 standard ultrasonic fetal biometric algorithms for their accuracy in predicting term fetal weight.
Colored circles represent the predicted terms for three representative methods as well as two baseline methods.
The predicted terms were based on the commonly accepted models of Pfeffer, Wilson and Geankoplis, Kataoka, Sircar, and Lightfoot.
As a result, it was observed that among the 20 "incorrectly" annotated proteins, many predicted terms are closely correlated to the true GO terms with significant E-values.
To gain insight into the 20 proteins that were "incorrectly" annotated by CSIDOP, we analyzed the relationship between the predicted terms and their true GO terms.
As before, we consider a set of propagated experimental terms T and predicted terms and define precision as the fraction of terms predicted correctly.
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