Machine Learning for Survival Analysis

Machine Learning for survival analysis is a method that helps predict the time until an event occurs, such as a patient's recovery or system failure. Using data like age, health status, or treatment, these models learn patterns and relationships to estimate survival probabilities over time. They can handle incomplete data, making them valuable in real-world scenarios. By analyzing large datasets, machine learning can identify factors that influence survival and improve decision-making in fields like healthcare, engineering, and finance, ultimately enhancing outcomes and efficiency.