Reliable Machine Learning in Healthcare

Explore the intersection of machine learning and healthcare in this 28-minute conference talk by Rahul Krishnan at the Computational Genomics Summer Institute (CGSI) 2023. Delve into the concept of reliable machine learning in healthcare, focusing on advanced statistical methods and their applications. Examine copula-based deep survival models for dependent censoring, as discussed in recent research papers. Investigate the use of Cox proportional hazards models in healthcare scenarios with dependent censoring. Learn about innovative approaches to detect harmful covariate shift using learning-based hypothesis tests. Gain insights into the challenges and opportunities of applying machine learning techniques to improve healthcare outcomes and decision-making processes.

Rahul Krishnan | Reliable Machine Learning in Healthcare | CGSI 2023