… is called the dynamic prediction: a real-time, personalized prediction of the risk … dynamic
prediction to predict the risk of disease progression using BCR-ABL as a time-varying predictor. …

… So we speak about patients and death if we mean observational units and occurrence of
the event of interest. However, the methodology we present, extends beyond the medical …

… The vector x i , on the other hand, contains all the possible observables available up to time
t i − τ that we can utilize to predict whether we have an extreme event or not in the near future…

… the problem of predicting occurrences of a significant event in a … dynamics using stochastic
Petri nets. In our case, the system model is logical and contains only discrete dynamics. Other …

… of the use of a landmark dynamic prediction model. We have … research of landmark dynamic
prediction models is that it is … flexibility to the landmark dynamic prediction models than the …

… event characteristics by simply comparing the time of the current event with the time of the last
event … a resource to any event occurring at time t by scanning the event log and calculating …

… The comparison among static-to-dynamic approaches reveals … dynamic predictions of
human-caused fire occurrence. … scenarios of occurrence data, we split the fire events accordingly. …

… automatize the event validation process by predicting whether a given event has evidence
… the occurrence of an input event, thus simplifying the task of manually searching for event-…

… tic modeling of extreme events, via continuous and discrete dynamic models. The … Prediction
has therefore been limited, by-and-large, to the expected time for the occurrence of an event …

… We are interested in events occurring in the medically relevant time frame (t, t+Δt] within …
define a prediction rule to discriminate between patients of high and low risk for an event. For …