Zobrazeno 1 - 10
of 35
pro vyhledávání: '"John S. Aberdeen"'
Autor:
Oanh Dang, Kimberley Swank, Cheryl Clark, Robert Ball, John S. Aberdeen, Samuel Bayer, Sonja Brajovic, Lynette Hirschman
Publikováno v:
Drug Safety
Introduction The US FDA is interested in a tool that would enable pharmacovigilance safety evaluators to automate the identification of adverse drug events (ADEs) mentioned in FDA prescribing information. The MITRE Corporation (MITRE) and the FDA org
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20b96c704daecb2f9de5ff70e6bf7523
http://europepmc.org/articles/PMC7813736
http://europepmc.org/articles/PMC7813736
Autor:
Mark S. Pfaff, Bill Liao, Lisa Ferro, John S. Aberdeen, Craig Pfeifer, Bradford Brown, L. Karl Branting, Brandy Weiss
Publikováno v:
Artificial Intelligence and Law. 29:213-238
Legal decision-support systems have the potential to improve access to justice, administrative efficiency, and judicial consistency, but broad adoption of such systems is contingent on development of technologies with low knowledge-engineering, valid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d8c17084b2cc86c8deeefcfcc931e07
https://doi.org/10.1007/s10506-020-09273-1
https://doi.org/10.1007/s10506-020-09273-1
Autor:
Tonia Korves, Patricia L. McDermott, Robyn Kozierok, John S. Aberdeen, Bradley A. Goodman, Matthew W. Peterson, Christopher D. Garay, Lynette Hirschman, Cheryl Clark
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Frontiers in Artificial Intelligence
Frontiers in Artificial Intelligence
There is a growing desire to create computer systems that can collaborate with humans on complex, open-ended activities. These activities typically have no set completion criteria and frequently involve multimodal communication, extensive world knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e307fb888e437b40c9369523b7a6d05d
https://www.frontiersin.org/articles/10.3389/frai.2021.670009/full
https://www.frontiersin.org/articles/10.3389/frai.2021.670009/full
Autor:
John S. Aberdeen, Muqun Rachel Li, Steve Nyemba, Dikshya Bastakoty, Cheryl Clark, David Cronkite, Bradley A. Malin, Lynette Hirschman, David Carrell
Publikováno v:
J Am Med Inform Assoc
Objective Effective, scalable de-identification of personally identifying information (PII) for information-rich clinical text is critical to support secondary use, but no method is 100% effective. The hiding-in-plain-sight (HIPS) approach attempts t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d4f390e15d4f5fa82ad88082d9a0a7
https://pubmed.ncbi.nlm.nih.gov/32930712
https://pubmed.ncbi.nlm.nih.gov/32930712
Publikováno v:
Journal of Biomedical Informatics. 75:S120-S128
Objective Our objective was to develop a machine learning-based system to determine the severity of Positive Valance symptoms for a patient, based on information included in their initial psychiatric evaluation. Severity was rated on an ordinal scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b292e1b3ade37a930c4ade872d832348
https://doi.org/10.1016/j.jbi.2017.07.005
https://doi.org/10.1016/j.jbi.2017.07.005
Autor:
Muqun Rachel Li, David Cronkite, David Carrell, John S. Aberdeen, Bradley A. Malin, Steve Nyemba, Lynette Hirschman
Publikováno v:
J Am Med Inform Assoc
Objective Clinical corpora can be deidentified using a combination of machine-learned automated taggers and hiding in plain sight (HIPS) resynthesis. The latter replaces detected personally identifiable information (PII) with random surrogates, allow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63849b341b2471aa4a1e9c3bfe1efcf3
https://europepmc.org/articles/PMC6857511/
https://europepmc.org/articles/PMC6857511/
Publikováno v:
Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-11 (2019)
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-11 (2019)
Background We introduce TranScriptML, a semantic representation schema for prescription regimens allowing various properties of prescriptions (e.g. dose, frequency, route) to be specified separately and applied (manually or automatically) as annotati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd46aacf0face2d05c9ee6e9995b9685
https://doi.org/10.1186/s13326-019-0201-9
https://doi.org/10.1186/s13326-019-0201-9
Autor:
Alexander S. Yeh, John S. Aberdeen, Lisa Ferro, Karl Branting, Amartya Chakraborty, Craig Pfeifer
Publikováno v:
Proceedings of the Natural Legal Language Processing Workshop 2019.
Recent research has demonstrated that judicial and administrative decisions can be predicted by machine-learning models trained on prior decisions. However, to have any practical application, these predictions must be explainable, which in turn requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6ccad8dddc5b572d86fe164733b40d4
https://doi.org/10.18653/v1/w19-2202
https://doi.org/10.18653/v1/w19-2202
Publikováno v:
Methods of Information in Medicine. 55:356-364
SummaryBackground: Clinical text contains valuable information but must be de-identified before it can be used for secondary purposes. Accurate annotation of personally identifiable information (PII) is essential to the development of automated de-id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59cada08b49d0868f2fd1ad303de7281
https://doi.org/10.3414/me15-01-0122
https://doi.org/10.3414/me15-01-0122
Autor:
Kai Zheng, Hongfang Liu, John S. Aberdeen, V. G. Vinod Vydiswaran, Hua Xu, Anna Rumshisky, Yue Wang, Amber Stubbs, Anupama E. Gururaj, Yang Liu, Özlem Uzuner, Samuel Bayer, Serguei V. S. Pakhomov
Publikováno v:
Journal of Biomedical Informatics. 58:S189-S196
Display Omitted The first study to assess the ease of adoption of the state-of-the-art clinical NLP systems.Five clinical NLP systems were carefully examined by four expert evaluators and eight end user evaluators.The results show that the adoptabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e60fbd853b89ba657d2b6a0df014072
https://doi.org/10.1016/j.jbi.2015.07.008
https://doi.org/10.1016/j.jbi.2015.07.008