robi56/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
This repository compiles research papers and software related to survival analysis using deep learning and modern Bayesian statistics. It helps researchers and practitioners estimate the time until an event occurs, such as patient mortality or machine failure, by leveraging various types of input data like clinical records or sensor readings to predict event probabilities over time. The primary users are medical researchers, data scientists in healthcare, or reliability engineers.
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Use this if you are a researcher or data scientist looking for a comprehensive collection of advanced deep learning and Bayesian methods for survival analysis to predict 'time-to-event' outcomes.
Not ideal if you are looking for an out-of-the-box, easy-to-use application for basic survival analysis without prior knowledge of deep learning or statistical modeling.
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Aug 18, 2023
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