… lyzing the risks furnishes the necessary search space for such planners. Risk analysis can …
–6]: (i) identify the states of all traffic participants; (ii) predict their future evolution at a time step …

… that can reliably predict the future attempted or completed suicide. We present an integrated
machine learning framework to tackle this challenge. Our proposed framework consists of a …

… risk information services. This paper proposes a personalized risk lane-changing prediction
framework that … , a driving style identification module and a personalized lane-changing risk …

… factors, can continue to use the orientation of epidemiology in the identification of risk factors…
specific risk behaviors such as problem drinking or illicit drug use are being predicted. Thus, …

… is offered as a framework for prediction and prevention of antisocial behavior in children and
… a list of general risk factors, there is also a need to identify multiple-risk pathways that may …

… learning behaviors. Therefore, we propose a phased prediction model to predict at-risk students
at … [26] proposed a prediction framework based on learning behavior analysis model and …

… safety framework by investigating two trajectory prediction models… prediction is further
calibrated by factoring in a worker’s risk … “Driver behavior analysis and route recognition by hidden …

… developed a behavioral paradigm to identify persons at risk for … framework of common human
diseases and then employ this … risk samples and, hence, of having less predictive power in …

… For example, predicting an individual’s risk-taking behavior … participants’ risk-taking behavior
could be predicted. Furthermore, … would be more useful in the prediction. To achieve this, a …

… a new framework for conceptualizing possible selves for the prediction of behavior. The …
can be achieved by considering the implications that a behavior has for one's self identity. This is …