Search Results for author: Tudor Groza

Found 6 papers, 0 papers with code

An evaluation of GPT models for phenotype concept recognition

no code implementations29 Sep 2023 Tudor Groza, Harry Caufield, Dylan Gration, Gareth Baynam, Melissa A Haendel, Peter N Robinson, Christopher J Mungall, Justin T Reese

Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field.

Few-Shot Learning Specificity

Evaluating a dictionary of human phenotype terms focusing on rare diseases

no code implementations WS 2016 Simon Kocbek, Toyofumi Fujiwara, Jin-Dong Kim, Toshihisa Takagi, Tudor Groza

In this paper we present results of an-notating gold standard corpus with a dictionary containing lexical variants for the Human Phenotype Ontology terms.

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