Survival prediction is a research area in which statistical or machine learning models are used to predict the probability of an individual surviving for a certain length of time based on their characteristics and other relevant factors. This area of research is commonly applied in healthcare, where it is used to predict the survival of patients with certain diseases or conditions, helping healthcare providers make more informed decisions about treatment plans and interventions. Survival prediction models may also be used in other fields, such as economics, finance, and environmental science, to forecast the likelihood of survival or failure of systems or processes.