A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives
Surgical procedures such as laparoscopic appendectomy are complex, high-stakes processes, yet formalizing their workflows for decision support remains a significant challenge. Inducing probabilistic planning domain models in this setting is particularly difficult due to the lack of structured event data and the prevalence of implicit actions in clinical narratives, which neither empirical symbolic methods nor Large Language Models (LLMs) can adequately address on their own. We introduce NSPIN, a neurosymbolic framework for inducing probabilistic planning domain models from unstructured clinica
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- LinkedLinked via arxiv author · 85%Kristian Kersting →
“A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives”
- LinkedLinked via arxiv author · 85%Sriraam Natarajan →
“A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives”
- LinkedLinked via arxiv author · 85%Ranveer Singh →
“A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives”
- LinkedLinked via arxiv author · 85%Saurabh Mathur →
“A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives”
- LinkedLinked via arxiv author · 85%Michael Skinner →
“A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives”