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Using prediction markets to guess the likelihood of future events is not new, and they are becoming increasingly popular as better computing tools are developed.
Prediction markets come in many stripes, but most work by allowing people to bet by buying and selling futures contracts–on the likelihood of future events, with the result that the market price of those contracts reflects traders' collective forecast of how likely an event is to occur.
Prediction is ubiquitous in oncology: innumerable decisions by patients, oncologists and other care providers depend on assessing the likelihood of future events.
Including weighted parameters in the model to predict the likelihood of future events based on prior knowledge creates an informed benchmark with which to compare and contrast association changes.
The most important variables that predict the likelihood of future events are the extent and severity of inducible ischaemia [ 103] but other predictors are increased lung uptake of thallium [ 104], stress-induced ventricular dilatation[ 105] and left ventricular ejection fraction [ 106, 107].
This uncertainty may concern a state, such as the presence of illness, the likelihood of future events, such as those in the natural course of an illness, or the likelihood with which such events may be averted, that is, treatment effects.
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PSHA consists of a four-step framework for which uncertainty in size, location and likelihood of plausible earthquakes can be incorporated to model the potential impact of future events (Robinson et al. 2006).
Full details of future events.
Events that were deemed to interact in this way were: HF (and other CV) hospitalisations, which increase the likelihood of both CV mortality and repeat hospitalisations, and adverse events, which increase the likelihood of future adverse events.
The decision was made to use a discrete event simulation (DES) so that the likelihood of future clinical events and associated costs could be directly linked to individuals' current health.
Among the most urgent concerns prompted by the SARS epidemic is the likelihood of similar future events.
Related(20)
occurrence of future events
possibility of future events
expectation of future events
risk of future events
chances of future events
likelihood of future patients
probabilities of future events
likelihood of coming events
likelihood of future pregnancies
likelihood of future problems
likelihood of future operations
likelihood of future disasters
likelihood of future violations
likelihood of future tragedies
likelihood of future strokes
likelihood of transformational events
likelihood of mutagenic events
likelihood of future shortages
likelihood of future bailouts
likelihood of systemic events
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