Mortality Prediction Models
Anand discusses the challenges of identifying patients in need of palliative care without existing labels in medical records. By focusing on predicting mortality three to twelve months ahead, he reveals how they developed a deep learning model using historical patient data, achieving around 90% accuracy in their predictions. This innovative approach aims to facilitate crucial conversations about care while patients are still able to engage.In this clip
From this podcast
The AI Podcast
Ep. 47: How AI Can Improve Access to Palliative Care
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