Survival analysis is a traditional statistical approach to medical data that involves an event of interest and time. Historical data will be the target of the study and statistical models can be inductively derived. These models try to provide statistical explanation to patients and aim to prevent or prolong undesirable events. We provide our view and our experience of using rough set theory, a relatively young but well-known data mining technique, to medical survival data. We focus on widening the technique and model from a deductive approach to an inductive approach, or a combination that is more flexible and efficient.