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Chen Wang - One of the best experts on this subject based on the ideXlab platform.
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cadec a corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Madonna Kemp, Alejandro Metkejimenez, Chen WangAbstract:Abstract CSIRO Adverse Drug Event Corpus (C adec ) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au . 1
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Cadec: A corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Alejandro Metke-jimenez, Madonna Kemp, Chen WangAbstract:CSIRO Adverse Drug Event Corpus (C. adec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.1The data can be used for research purposes only, under the CSIRO data licence.1.
Sarvnaz Karimi - One of the best experts on this subject based on the ideXlab platform.
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cadec a corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Madonna Kemp, Alejandro Metkejimenez, Chen WangAbstract:Abstract CSIRO Adverse Drug Event Corpus (C adec ) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au . 1
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Cadec: A corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Alejandro Metke-jimenez, Madonna Kemp, Chen WangAbstract:CSIRO Adverse Drug Event Corpus (C. adec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.1The data can be used for research purposes only, under the CSIRO data licence.1.
Madonna Kemp - One of the best experts on this subject based on the ideXlab platform.
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cadec a corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Madonna Kemp, Alejandro Metkejimenez, Chen WangAbstract:Abstract CSIRO Adverse Drug Event Corpus (C adec ) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au . 1
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Cadec: A corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Alejandro Metke-jimenez, Madonna Kemp, Chen WangAbstract:CSIRO Adverse Drug Event Corpus (C. adec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.1The data can be used for research purposes only, under the CSIRO data licence.1.
Chen Qian - One of the best experts on this subject based on the ideXlab platform.
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Choice and Trend of Contemporary Colloquial Language Poems——One of Contemporary Poem Research Series
Journal of Jiangxi Normal University, 2020Co-Authors: Chen QianAbstract:Colloquial Language poems have its development history.They have still been growing since the nineties of the 20th century,however,there are quite a lot problems after that.The main aim of the paper is to analyze the reason for contemporary Colloquial Language poems' growing and the definition of Colloquial Language poems,describe Colloquial Language poems' characteristics of appreciation of the beauty and put forward corresponding problems for creation and solution.
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choice and trend of contemporary Colloquial Language poems one of contemporary poem research series
Journal of Jiangxi Normal University, 2008Co-Authors: Chen QianAbstract:Colloquial Language poems have its development history.They have still been growing since the nineties of the 20th century,however,there are quite a lot problems after that.The main aim of the paper is to analyze the reason for contemporary Colloquial Language poems' growing and the definition of Colloquial Language poems,describe Colloquial Language poems' characteristics of appreciation of the beauty and put forward corresponding problems for creation and solution.
Alejandro Metke-jimenez - One of the best experts on this subject based on the ideXlab platform.
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Cadec: A corpus of adverse drug event annotations
Journal of Biomedical Informatics, 2015Co-Authors: Sarvnaz Karimi, Alejandro Metke-jimenez, Madonna Kemp, Chen WangAbstract:CSIRO Adverse Drug Event Corpus (C. adec) is a new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is sourced from posts on social media, and contains text that is largely written in Colloquial Language and often deviates from formal English grammar and punctuation rules. Annotations contain mentions of concepts such as drugs, adverse effects, symptoms, and diseases linked to their corresponding concepts in controlled vocabularies, i.e., SNOMED Clinical Terms and MedDRA. The quality of the annotations is ensured by annotation guidelines, multi-stage annotations, measuring inter-annotator agreement, and final review of the annotations by a clinical terminologist. This corpus is useful for studies in the area of information extraction, or more generally text mining, from social media to detect possible adverse drug reactions from direct patient reports. The corpus is publicly available at https://data.csiro.au.1The data can be used for research purposes only, under the CSIRO data licence.1.