Many patients present when they are already unwell, when symptoms are already present.
Iterative modelling of probability could be utilised to helpassess individual prevention measures.
Others may seek medical advice when a relative develops a condition, and still more may be called to a clinic because they have been selected for screening based on a prevention strategy.
Increasingly at MEDIdesign we believe that probability modelling of large datasets will provide useful insights prompting early intervention, potentially seeking to identify and treat a condition long before it becomes apparent to the patient.
Moreover, being able to discriminate between low and high risk populations may give vital clues as to the causes of certain conditions, leading to improved treatments, policy decisions and public advice.