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Ontology-based deep learning for human behavior prediction in health social networks

机译:基于本体的深度学习在健康社交网络中预测人类行为

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摘要

Predictive behavior modeling is the use of mathematical and statistical techniques and/or data mining to predict future events or human behavior. In a set of new predictive modeling techniques is presented. These techniques can be used independently or in combination with traditional modeling techniques to predict medical outcomes, particularly in case of prostate cancer treatment. Beyond the prediction of medical outcomes, these techniques could also be considered in modeling and predicting human behavior. In for example, the authors use dynamic Markov models, a mathematical method, to recognize human behavior.
机译:预测行为建模是使用数学和统计技术和/或数据挖掘来预测未来事件或人类行为。提出了一组新的预测建模技术。这些技术可以单独使用,也可以与传统建模技术结合使用,以预测医疗效果,尤其是在前列腺癌治疗的情况下。除了预测医疗结果外,还可以在建模和预测人类行为时考虑使用这些技术。例如,作者使用动态马尔可夫模型(一种数学方法)来识别人类行为。

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