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In this study we aim to discuss how soft set theory can be used for developing knowledge-based system in medicine and devise a prediction system named soft expert system (SES) by using the PSA, PV and age data of patients based on fuzzy sets and soft sets and calculate the patients prostate cancer risk.
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Given the poor performance of diagnostic tools we attempted to devise a clinical prediction rule, hitherto unavailable, suited to resource-poor high HIV prevalence settings.
Finally, as a part of our future work, we have been planning to devise a semi-Markov prediction model based on pure birth-death process that relies only on neighbour-only transitions and a limited availability factor-based semi-Markov prediction model that quantises the degree of participation rendered by the mobile nodes in the routing process.
Further, the large context dependency of both invasion events, the magnitude of impact on the invaded systems as well as the extent to which the impacts are reversible or irreversible makes it difficult to devise a generalized scheme of prediction.
This relation then allows to devise a fully automatic assignment and prediction system that progressively improves its capabilities.
It was therefore necessary to devise a method of aggregating individual predictions to calculate practice target allocations.
We have devised an accurate prediction technique, called PiType, which is able to distinguish obligate from non-obligate interactions and SP from ME interactions based on readily accessible features, including sequence and functional properties of the two binding partners and their network context.
Hence, these limitations motivated us to devise a futuristic trust coefficient-based semi-Markov prediction model for isolating selfish behaviour of nodes.
The two of you devise a plan.
Let's devise a game plan.
Therefore, it is possible to devise a new customized SNP array that includes all of the selected SNPs consisting those of genotyped or imputed SNPs for the HLA-prediction model to increase the prediction accuracy.
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