Exact(26)
The usefulness of weighted networks implied the need of weight prediction in networks.
Combining the accurate link prediction algorithm which uses the multiplex structure and takes into account many factors to predict weights results in accurate weight prediction (Fig. 5).
Conclusions: A previously derived birth weight prediction equation based on maternal and pregnancy-specific characteristics alone successfully predicts term birth weight in normal Hispanic gravidas to within ±8.4% (±287 g).
Study design: A previously published birth weight prediction equation based on maternal and pregnancy-specific characteristics was used to predict birth weights for 283 normal Caucasian women of Hispanic ethnicity.
The target problem is missing link and weight prediction in multiplex networks.
Weight prediction coupled with Link Prediction can be of great use.
Similar(34)
Results: Birth weight predictions for Hispanic women were accurate to within ±8.4% (±287 g).
The stress distribution in the rubber sleeve evidences the two-dimensional quality of the deformation indicating that the commonly employed one-dimensional model might produce inaccurate results; this conjecture is confirmed when coating weight predictions obtained with the two substrate models are compared.
However, initial analysis of JV polyprotein processing indicated that only two major proteins are synthesised initially which, based on molecular weight predictions, are the 3ABCD (110 kDa) and the 2C (39 kDa).
Molecular weight predictions and sequence identity and similarity analyses were performed with the Protein molecular weight function and ident and sim functions of the Sequence manipulation suite [ 58].
In accordance with these beliefs, a great deal of effort has been put into generating best-fit fetal biometric algorithms capable of making birth weight predictions on the basis of obstetric ultrasound measurements [ 16, 22– 29].
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