Zobrazeno 1 - 10
of 299
pro vyhledávání: '"Leroy, Gondy"'
In medicine, machine learning (ML) datasets are often built using the International Classification of Diseases (ICD) codes. As new models are being developed, there is a need for larger datasets. However, ICD codes are intended for billing. We aim to
Externí odkaz:
http://arxiv.org/abs/2407.07997
This study investigates human and ChatGPT text simplification and its relationship to dependency distance. A set of 220 sentences, with increasing grammatical difficulty as measured in a prior user study, were simplified by a human expert and using C
Externí odkaz:
http://arxiv.org/abs/2406.17787
An important issue impacting healthcare is a lack of available experts. Machine learning (ML) models could resolve this by aiding in diagnosing patients. However, creating datasets large enough to train these models is expensive. We evaluated large l
Externí odkaz:
http://arxiv.org/abs/2405.06695
Text and audio simplification to increase information comprehension are important in healthcare. With the introduction of ChatGPT, an evaluation of its simplification performance is needed. We provide a systematic comparison of human and ChatGPT simp
Externí odkaz:
http://arxiv.org/abs/2405.01592
Autor:
Ahmed, Arif, Leroy, Gondy, Rains, Stephen A., Harber, Philip, Kauchak, David, Barai, Prosanta
Health literacy is crucial to supporting good health and is a major national goal. Audio delivery of information is becoming more popular for informing oneself. In this study, we evaluate the effect of audio enhancements in the form of information em
Externí odkaz:
http://arxiv.org/abs/2404.19119
While there has been significant development of models for Plain Language Summarization (PLS), evaluation remains a challenge. PLS lacks a dedicated assessment metric, and the suitability of text generation evaluation metrics is unclear due to the un
Externí odkaz:
http://arxiv.org/abs/2305.14341
Autor:
Kauchak, David, Leroy, Gondy
Limited health literacy is a barrier to understanding health information. Simplifying text can reduce this barrier and possibly other known disparities in health. Unfortunately, few tools exist to simplify text with demonstrated impact on comprehensi
Externí odkaz:
http://hdl.handle.net/10150/621254
http://arizona.openrepository.com/arizona/handle/10150/621254
http://arizona.openrepository.com/arizona/handle/10150/621254
Recent lay language generation systems have used Transformer models trained on a parallel corpus to increase health information accessibility. However, the applicability of these models is constrained by the limited size and topical breadth of availa
Externí odkaz:
http://arxiv.org/abs/2211.03818
Autor:
Leroy, Gondy, Chen, Hsinchun
Artificial Intelligence Lab, Department of MIS, University of Arizona
In this paper we describe MedTextus, an online medical search portal with dynamic search and browse tools. To search for information, MedTextus lets users request synonyms and
In this paper we describe MedTextus, an online medical search portal with dynamic search and browse tools. To search for information, MedTextus lets users request synonyms and
Externí odkaz:
http://hdl.handle.net/10150/105231