Article

Deep Reinforcement Learning for Personalized Clinical Decision Support

2025-07-15

Abstract excerpt

Clinical decision making is inherently sequential and must consider the complex, high-dimensional, and rapidly changing physiological state of each patient. Traditional supervised models provide static risk predictions, but they cannot suggest how to act over time. Deep learning (DL) is skilled at extracting concise representations from multimodal electronic health record (EHR) data, while reinforcement learning (...

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Literature Corpus work: 57502a08-798f-51a2-b069-38ce081c3b0d
DOI: 10.20944/preprints202507.1207.v1

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