Aug. 5, 2022, 11:40 a.m. | Chirag Nagpal

Machine Learning Blog | ML@CMU | Carnegie Mellon University blog.ml.cmu.edu

                        Real-world decision-making often requires reasoning about when an event will occur. The overarching goal of such reasoning is to help aid decision-making for optimal triage and subsequent intervention. Such problems involving estimation of Times-to-an-Event frequently arise across multiple application areas, including, Healthcare and Bio-informatics: More commonly known as ‘Survival Analysis‘ involves prognostication of an adverse physiological event like a stroke, the onset of cancer, re-hospitalization, and mortality. Time-to-event or survival analysis can be used to proactively mitigate adverse outcomes and …

data educational evaluation event healthcare machine learning package regression software survival time time-to-event data

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