A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
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Updated
Aug 13, 2020 - CSS
A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
There are a large number of different XAI methods. This oversupply makes it difficult to find a suitable XAI method that fits a specific use case and is also suitable for the respective target group. The XAI Tutorial offers a good introduction for newcomers to XAI to show the possibilities that XAI can offer for an AI application.
This website hosted on GitHub-pages showcases all publications from Oregon State University's eXplainable Artificial Intelligence (XAI) Project.
TrustyAI main documentation
Personal AI portfolio and academic website | clinical ML, gait analysis, and explainable AI.
Calmify – An AI-powered emotional chatbot that supports student mental well-being by offering a safe space to express emotions, receive thoughtful responses, and get stress management guidance.
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