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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

CITE Title : Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports Personal Author(s) : Yoon, Hong-Jun;Klasky, Hilda B.;Gounley, John P.;Alawad, Mohammed;Gao, Shang;Durbin, Eric B.;Wu, Xiao-Cheng;Stroup, Antoinette;Doherty, Jennifer;Coyle, Linda;Penberthy, Lynne;Christian, J. Blair;Tourassi, Georgia D.; Published Date : October 2020 Source : J Biomed Inform. 110:103564 URL : https://stacks.cdc.gov/view/cdc/108094 Yoon, Hong-Jun et al. (2020). Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. 110 Yoon, Hong-Jun et al. "Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports" 110 (2020) Yoon, Hong-Jun et al. "Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports" vol. 110, 2020 Export RIS Citation Information.

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Yoon, Hong-Jun ;

Klasky, Hilda B.

October 2020 | J Biomed Inform. 110:103564

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Objective:In machine learning, it is evident that the classification of the task performance increases if bootstrap aggregation (bagging) is applied. ...
Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review

CITE Title : Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review Personal Author(s) : Kreimeyer, Kory;Foster, Matthew;Pandey, Abhishek;Arya, Nina;Halford, Gwendolyn;Jones, Sandra F;Forshee, Richard;Walderhaug, Mark;Botsis, Taxiarchis; Published Date : July 17 2017 Source : J Biomed Inform. 73:14-29 URL : https://stacks.cdc.gov/view/cdc/83255 Kreimeyer, Kory et al. (2017). Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review. 73 Kreimeyer, Kory et al. "Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review" 73 (2017) Kreimeyer, Kory et al. "Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review" vol. 73, 2017 Export RIS Citation Information.

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Kreimeyer, Kory ;

Foster, Matthew

July 17 2017 | J Biomed Inform. 73:14-29

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We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natura...
Signals of increasing co-use of stimulants and opioids from online drug forum data

CITE Title : Signals of increasing co-use of stimulants and opioids from online drug forum data Personal Author(s) : Sarker, Abeed;Al-Garadi, Mohammed Ali;Ge, Yao;Nataraj, Nisha;Jones, Christopher M.;Sumner, Steven A.; Published Date : 5 25 2022 Source : Harm Reduct J. 19 URL : https://stacks.cdc.gov/view/cdc/122082 Sarker, Abeed et al. (2022). Signals of increasing co-use of stimulants and opioids from online drug forum data. 19 Sarker, Abeed et al. "Signals of increasing co-use of stimulants and opioids from online drug forum data" 19 (2022) Sarker, Abeed et al. "Signals of increasing co-use of stimulants and opioids from online drug forum data" vol. 19, 2022 Export RIS Citation Information.

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Sarker, Abeed ;

Al-Garadi, Mohammed Ali

5 25 2022 | Harm Reduct J. 19

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BackgroundDespite recent rises in fatal overdoses involving multiple substances, there is a paucity of knowledge about stimulant co-use patterns among...