We developed a knowledge extraction method as well as a hybrid reasoning algorithm that compares concepts using both logical axioms from the medical KB as well ...

Abstract. Text understanding and reasoning is a very difficult but highly im- portant problem with many practical applications. Examples are chatbots where.

... -28⫷Vol-2180/paper-29⫸Vol-2180/paper-30. Damir Juric Giorgos Stoilos Szymon Wartak Mohammad Khodadadi. Reasoning with Textual Queries: A Case of Medical Text.

This paper presents methods that support automatically finding abstract indexing concepts in textual cases and demonstrates how these cases can be used in ...

Jul 23, 2020 · The study found that the proposed model can support physicians to easily diagnose suspected cases of COVID-19 based on their medical records.

This commentary provides a definition of textual case-based reasoning (TCBR) and surveys research contributions according to four research questions, ...

Background. Establishing a Case Definition (CDef) is a first step in many epidemiological, clinical, surveillance, and research activities.

Sep 13, 2024 · As far as we know, it is the first method to use pre-trained language models and text path representations for medical knowledge reasoning.

Sep 7, 2022 · A reasoning-encoded case database for advanced clinical reasoning instruction by applying natural language processing (NLP), a sub-field of artificial ...

Jul 3, 2024 · In medical question-answering, LLMs have been tested on multiple choice questions from a textbook on the Clinical Informatics Board Examination ...