Zobrazeno 1 - 10
of 17
pro vyhledávání: '"John P Lalor"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e49704 (2024)
BackgroundStudies have shown that patients have difficulty understanding medical jargon in electronic health record (EHR) notes, particularly patients with low health literacy. In creating the NoteAid dictionary of medical jargon for patients, a pane
Externí odkaz:
https://doaj.org/article/6c7e0882a17e4833a20b16bfb9a91e3e
Publikováno v:
Manufacturing & Service Operations Management. 25:975-995
Problem definition: Business analytics (BA) in healthcare research offers numerous valuable insights that can enhance patient care and hospital performance. Consequently, there has been a rapid surge of research in this area. Academic/practical relev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5edea9f62794742d2a658e868a11797
https://doi.org/10.1287/msom.2023.1192
https://doi.org/10.1287/msom.2023.1192
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e26354 (2021)
Journal of Medical Internet Research
Journal of Medical Internet Research
Background Interventions to define medical jargon have been shown to improve electronic health record (EHR) note comprehension among crowdsourced participants on Amazon Mechanical Turk (AMT). However, AMT participants may not be representative of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ce45467d42b729916a37a444d6ea92
https://www.jmir.org/2021/5/e26354
https://www.jmir.org/2021/5/e26354
Autor:
John P. Lalor, Hong Yu
Publikováno v:
Proc Conf Empir Methods Nat Lang Process
EMNLP (Findings)
EMNLP (Findings)
Curriculum learning methods typically rely on heuristics to estimate the difficulty of training examples or the ability of the model. In this work, we propose replacing difficulty heuristics with learned difficulty parameters. We also propose Dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d62e17eba85761a54310ae44ef6829e5
https://pubmed.ncbi.nlm.nih.gov/33381774
https://pubmed.ncbi.nlm.nih.gov/33381774
BACKGROUND Interventions to define medical jargon have been shown to improve electronic health record (EHR) note comprehension among crowdsourced participants on Amazon Mechanical Turk (AMT). However, AMT participants may not be representative of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f59bae26635c70df9d01aab633f9a29c
https://doi.org/10.2196/preprints.26354
https://doi.org/10.2196/preprints.26354
Autor:
John P. Lalor, Ming-Cheng Ma
Publikováno v:
W-NUT@EMNLP
Automated agents (“bots”) have emerged as an ubiquitous and influential presence on social media. Bots engage on social media platforms by posting content and replying to other users on the platform. In this work we conduct an empirical analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e881ea10bae8fbddbe748326c34d9ae3
https://doi.org/10.18653/v1/2020.wnut-1.14
https://doi.org/10.18653/v1/2020.wnut-1.14
Publikováno v:
ASRU
Expanding new functionalities efficiently is an ongoing challenge for single-turn task-oriented dialogue systems. In this work, we explore functionality-specific semi-supervised learning via self-training. We consider methods that augment training da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d7432ca88d348135ff88c057da7aa49
Publikováno v:
EMNLP/IJCNLP (1)
Incorporating Item Response Theory (IRT) into NLP tasks can provide valuable information about model performance and behavior. Traditionally, IRT models are learned using human response pattern (RP) data, presenting a significant bottleneck for large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6631a5b6b1b8cd0031c5e6bb82e600e
https://doi.org/10.18653/v1/d19-1434
https://doi.org/10.18653/v1/d19-1434
BACKGROUND Patient portals are becoming more common, and with them, the ability of patients to access their personal electronic health records (EHRs). EHRs, in particular the free-text EHR notes, often contain medical jargon and terms that are diffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d06d3c95d4f3c4c65beb6028d40ea142
https://doi.org/10.2196/preprints.10793
https://doi.org/10.2196/preprints.10793
BACKGROUND Patient portals are widely adopted in the United States and allow millions of patients access to their electronic health records (EHRs), including their EHR clinical notes. A patient’s ability to understand the information in the EHR is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f75aa8ac0f66a5fcccd559df5a907ac9
https://doi.org/10.2196/preprints.9380
https://doi.org/10.2196/preprints.9380