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This knowledge is associated with nursing school status, professional breast cancer exposure and self history of clinical breast examination.
Their practices are shaped by multiple layers of context comprising self (history and experience), relationships (with clients, staff, peers, support staff and managers), specific facilities and communities as well as the organizational setting of the particular sub-district, and of various higher levels of managerial and policy influence.
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The matrix is computed from the self-history of individual(x).
Every destination-pattern analysis is related to the self-history and the personal profile of a targeted individual, not on what others do.
In our work, we focus on the self-history of an individual in order to produce predictions related only to that individual.
Further work will experimentally compare and contrast predictions that use the self-history of what a person typically does with predictions that use the combined histories of what people typically do in other scenarios.
In this paper, we have introduced a trajectory prediction algorithm, P-DPA, that uses the self-history of a targeted individual in order to predict the set of destinations that could be visited by him/her.
Different from other work, note that our algorithm does not predict based on what others do (e.g., in collaborative/clustering prediction style approaches), but based purely on the self-history of the individual him/her-self.
We show that self-histories can provide reasonable predictions of future destinations, which can be exploited for ads.
In comparison to the prediction accuracy results using Self-Histories in Figs. 9 and 12, Fig. 13 shows the F-measure values that represent the prediction accuracy of both algorithms, P-DPA and Markov-chain, using group-histories style instead of self-histories with the virtual clients in V-Mall dataset.
Figure 14 shows the F-measure values that represent the prediction accuracy of both algorithms, P-DPA and Markov-chain, using group-histories instead of self-histories with the subjects in the GPS dataset.
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