Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Joël, Kuiper"'
Autor:
Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain J. Marshall
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Objective Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-automates bias assessments.
Externí odkaz:
https://doaj.org/article/2439d8044ca64884b24df73ffaa3c92c
Autor:
Randolph G. Bias, Joël Kuiper, Frank Soboczenski, Thomas A Trikalinos, Iain J. Marshall, Byron C. Wallace
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-12 (2019)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Objective Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-automates bias assessments. We condu
Autor:
James Thomas, Frank Soboczenski, Benjamin E. Nye, Joël Kuiper, Anna H Noel-Storr, Rachel Marshall, Byron C. Wallace, Iain J. Marshall, Rory Maclean, Ani Nenkova
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective Randomized controlled trials (RCTs) are the gold standard method for evaluating whether a treatment works in health care but can be difficult to find and make use of. We describe the development and evaluation of a system to automatically f
Publikováno v:
Biopreservation and Biobanking
Biopreservation and biobanking, 13(3), 178-182. MARY ANN LIEBERT, INC
Biopreservation and biobanking, 13(3), 178-182. MARY ANN LIEBERT, INC
Owners of biobanks are in an unfortunate position: on the one hand, they need to protect the privacy of their participants, whereas on the other, their usefulness relies on the disclosure of the data they hold. Existing methods for Statistical Disclo
Publikováno v:
Research synthesis methods
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w
Publikováno v:
ACL (System Demonstrations)
King's College London
King's College London
We present RobotReviewer, an open-source web-based system that uses machine learning and NLP to semi-automate biomedical evidence synthesis, to aid the practice of Evidence-Based Medicine. RobotReviewer processes full-text journal articles (PDFs) des
Autor:
Martijn Dijkstra, Chao Pang, Joël Kuiper, K. Joeri van der Velde, Morris A. Swertz, Dennis Hendriksen, Hans L. Hillege
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association, 22(1), 65-75. B M J PUBLISHING GROUP
Journal of the American Medical Informatics Association, 22(1), 65-75. B M J PUBLISHING GROUP
Objective Pooling data across biobanks is necessary to increase statistical power, reveal more subtle associations, and synergize the value of data sources. However, searching for desired data elements among the thousands of available elements and ha
Publikováno v:
Journal of the American Medical Informatics Association, 23(1), 193-201. B M J PUBLISHING GROUP
Journal of the American Medical Informatics Association : JAMIA
Marshall, I, Kuiper, J & Wallace, B C 2016, ' RobotReviewer : Evaluation of a System for Automatically Assessing Bias in Clinical Trials ', Journal of the American Medical Informatics Association : JAMIA, vol. 23, no. 1, pp. 193-201 . https://doi.org/10.1093/jamia/ocv044
Journal of the American Medical Informatics Association : JAMIA
Marshall, I, Kuiper, J & Wallace, B C 2016, ' RobotReviewer : Evaluation of a System for Automatically Assessing Bias in Clinical Trials ', Journal of the American Medical Informatics Association : JAMIA, vol. 23, no. 1, pp. 193-201 . https://doi.org/10.1093/jamia/ocv044
Objective To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system should determine risks of bias for the domains defined by the Cochran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ef363e60041104709cdda2cefef96ac
https://research.rug.nl/en/publications/35c029d9-d2fb-4832-8741-494eb23424f7
https://research.rug.nl/en/publications/35c029d9-d2fb-4832-8741-494eb23424f7
Publikováno v:
Wallace, B C, Kuiper, J, Sharma, A, Zhu, M & Marshall, I J 2016, ' Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision ', JOURNAL OF MACHINE LEARNING RESEARCH, vol. 17, no. 132, pp. 1-25 . < http://jmlr.org/papers/v17/15-404.html >
King's College London
King's College London
Systematic reviews underpin Evidence Based Medicine (EBM) by addressing precise clinical questions via comprehensive synthesis of all relevant published evidence. Authors of systematic reviews typically define a Population/Problem, Intervention, Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::2291aec889cd9e59c8ad5d33fe814075
https://europepmc.org/articles/PMC5065023/
https://europepmc.org/articles/PMC5065023/
Publikováno v:
Source code for biology and medicine, 10:14. BioMed Central Ltd.
Source Code for Biology and Medicine
Source Code for Biology and Medicine
Background Today researchers can choose from many bioinformatics protocols for all types of life sciences research, computational environments and coding languages. Although the majority of these are open source, few of them possess all virtues to ma