A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
2020
Findings of the Association for Computational Linguistics: EMNLP 2020
unpublished
Preserved Fulltext
The search for Participants, Interventions, and Outcomes (PIO) in clinical trial reports is a critical task in Evidence Based Medicine. ...
approach of annotating entire abstracts of trial reports as one task-instance (i.e. ...
1 ) in clinical trial reports. ...
doi:10.18653/v1/2020.findings-emnlp.274
fatcat:3dm2rirucfazhdrldvkq3jvz3q
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
2018
Association for Computational Linguistics (ACL). Annual Meeting Conference Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Annotations include demarcations of text spans that describe the Patient population enrolled, the Interventions studied and to what they were Compared, and the Outcomes measured (the 'PICO' elements). ...
We present a corpus of 5,000 richly annotated abstracts of medical articles describing clinical randomized controlled trials. ...
Acknowledgements This work was supported in part by the National Cancer Institute (NCI) of the National Institutes of Health (NIH), award number UH2CA203711. ...
pmid:30305770
pmcid:PMC6174533
fatcat:zdcgrj6exvbg5oeidm5j3n7hbe
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Annotations include demarcations of text spans that describe the Patient population enrolled, the Interventions studied and to what they were Compared, and the Outcomes measured (the 'PICO' elements). ...
We present a corpus of 5,000 richly annotated abstracts of medical articles describing clinical randomized controlled trials. ...
Acknowledgements This work was supported in part by the National Cancer Institute (NCI) of the National Institutes of Health (NIH), award number UH2CA203711. ...
arXiv:1806.04185v1
fatcat:s2nt6pzlqjc6jpzhsfehly3rwy
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Annotations include demarcations of text spans that describe the Patient population enrolled, the Interventions studied and to what they were Compared, and the Outcomes measured (the 'PICO' elements). ...
We present a corpus of 5,000 richly annotated abstracts of medical articles describing clinical randomized controlled trials. ...
Acknowledgements This work was supported in part by the National Cancer Institute (NCI) of the National Institutes of Health (NIH), award number UH2CA203711. ...
doi:10.18653/v1/p18-1019
dblp:conf/acl/NenkovaLYMWNP18
fatcat:27u3zpeutbhq5oxpukkkiph5jq
Trialstreamer: a living, automatically updated database of clinical trial reports
[article]
2020
medRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We combine machine learning and rule-based methods to extract information from the RCT abstracts, including free-text descriptions of trial populations, interventions and outcomes (the 'PICO') and map ...
We describe the development and evaluation of a system to automatically find and categorize all new RCT reports. ...
This work makes use of data created by Cochrane, Cochrane Crowd, and Clinical Hedges at MacMaster University, and the Unified Medial Language System (UMLS) from the National Library of Medicine, which ...
doi:10.1101/2020.05.15.20103044
fatcat:r2vysomogrg3fhz64xai62kelq
A protocol for the systematic review and meta-analysis of studies in which cannabinoids were tested for antinociceptive effects in animal models of pathological or injury-related persistent pain
2019
PAIN Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Data will be extracted for pain-associated behavioural outcomes, study design, and the reporting of measures to avoid bias. ...
The evaluation of the preclinical evidence will quantify the antinociceptive effects of cannabinoids on pain behaviour in animal models of pathological pain in an effort to quantify the presence and prevalence ...
Acknowledgements The authors thank Dr Emily Sena and Dr Jing Liao of CAMARDES, The University of Edinburgh, for their guidance in how machine learning and text mining can be used to improve the efficiency ...
doi:10.1097/pr9.0000000000000766
pmid:31579857
pmcid:PMC6727996
fatcat:q6pa4l23afd6xivygpprfpu4y4
Crowdsourcing in health and medical research: a systematic review
2020
Infectious Diseases of Poverty
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Although crowdsourcing is effective at improving behavioral outcomes, more research is needed to understand effects on clinical outcomes and costs. ...
Crowdsourcing is used increasingly in health and medical research. Crowdsourcing is the process of aggregating crowd wisdom to solve a problem. ...
The SIHI network is supported by TDR, the Special Programme for Research and Training in Tropical Disease, co-sponsored by ...
doi:10.1186/s40249-020-0622-9
pmid:31959234
fatcat:vrijmeonejeqdjah5zlza2gmci
A practical guide to preclinical systematic review and meta-analysis
2020
Pain
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Rice are part of the European Quality In ...
Acknowledgements The authors thank Dr Emily Sena for her constructive feedback on the manuscript. The work is funded by the BBSRC (grant number BB/M011178/ 1). J. Vollert and A.S.C. ...
A MA can be used to combine the outcome data of individual studies to estimate the overall intervention effect. ...
doi:10.1097/j.pain.0000000000001974
pmid:33449500
fatcat:5efzm4563zbkjk7hrcawrqkkai
MS2: Multi-Document Summarization of Medical Studies
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review. ...
We formulate our summarization inputs and targets in both free text and structured forms and modify a recently proposed metric to assess the quality of our system's generated summaries. ...
We thank Ani Nenkova, Byron Wallace, Dan Weld, the reviewers, and members of the Semantic Scholar team for their valuable feedback. ...
arXiv:2104.06486v3
fatcat:2omphxpttzf5dovokqfpnzhxgm
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study
2019
BMC Medical Informatics and Decision Making
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We conducted a user study of RobotReviewer, evaluating time saved and usability of the tool. ...
Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. ...
Acknowledgements We would like to express our gratitude to the systematic review authors who volunteered to take part in the user study, and also to Cochrane Crowd, the EPPI Centre, and the Society for ...
doi:10.1186/s12911-019-0814-z
pmid:31068178
pmcid:PMC6505190
fatcat:lna2oofhszhv3ihpp3ta2cgw5m
State of the evidence: a survey of global disparities in clinical trials
2021
BMJ Global Health
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
RCTs recruited a median of 72 participants (IQR 32-195). 82% of RCTs were conducted by researchers in the top fifth of countries by socio-economic development. ...
We use machine learning to monitor PubMed daily, and find and analyse RCT reports. ...
Acknowledgements We are enormously grateful to the volunteers from the Cochrane Crowd, who labelled hundreds of thousands of articles manually, enabling us to develop the machine learning system. ...
doi:10.1136/bmjgh-2020-004145
pmid:33402333
pmcid:PMC7786802
fatcat:z4q5i7getvh5ppqhnzuudbtu24
Improving the Science of Annotation for Natural Language Processing: The Use of the Single-Case Study for Piloting Annotation Projects
2022
Journal of Data Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this paper, we demonstrate the application of the single-case study in an applied experiment and argue that future researchers should incorporate the design into the pilot stage of annotation projects ...
Researchers need guidance on how to obtain maximum efficiency and accuracy when annotating training data for text classification applications. ...
Study Corpus and Participants Our corpus of coaching conversations comes from prior studies of the impact of a short (5-minute) coaching intervention on teachers-in-training. ...
doi:10.6339/22-jds1054
fatcat:zev6rsfpp5hghglsyubg24jhlm
Are Patients With Longer Emergency Department Wait Times Less Likely to Consent to Research?
2012
Academic Emergency Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The objective of this study was to assess the effect of ED wait times on patient participation in ED clinical research. ...
An analysis of association between patient wait times for the outcome of consent to participate was performed using a multivariate logistic regression model. ...
To our knowledge, this is the first study examining the effects of wait times on ED clinical research participation. ...
doi:10.1111/j.1553-2712.2012.01310.x
pmid:22506943
fatcat:re3mkx4t7bcbpkjrcl7azwxjom
State of the evidence: a survey of global disparities in clinical trials
[article]
2020
medRxiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
RCTs recruited a median of 72 participants (interquartile range 32-195). 82% of RCTs were conducted by researchers in the top fifth of countries by socio-economic development. ...
We conducted a comprehensive global study investigating the number of randomised controlled trials (RCTs) published on different health conditions, and how this compares with the global disease burden ...
Acknowledgements We are enormously grateful to the volunteers from the Cochrane Crowd, who labelled hundreds of thousands of articles manually, enabling us to develop the machine learning system. ...
doi:10.1101/2020.10.08.20209353
fatcat:rmi26rucrzdgdneppdxkfprvma
Detect and Classify – Joint Span Detection and Classification for Health Outcomes
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
A health outcome is a measurement or an observation used to capture and assess the effect of a treatment. ...
the goal is to classify a text into a pre-defined set of categories depending on an outcome that is mentioned somewhere in that text. ...
We use this alignment for data augmentation in a low-resource setting. 3. We investigate the document-level contributions by a piece of text (e.g. an abstract) for predictions made at the token-level. ...
arXiv:2104.07789v2
fatcat:3dluowmkanbx3agojewgf4ek7e
« Previous
Showing results 1 — 15 out of 1,187 results