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Abeed Sarker

Showing results (1-10 of 114) with videos related to

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Bioinformatics (Oxford, England)|November 27, 2020
LexExp: a system for automatically expanding concept lexicons for noisy biomedical textsAbeed Sarker
JAMIA Open|September 6, 2021
Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reportsAbeed Sarker, Yao Ge
Informatics for Health & Social Care|June 3, 2022
Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunitiesWhitney Bremer, Abeed Sarker
Data in Brief|December 17, 2016
A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilitiesAbeed Sarker, Graciela Gonzalez
Journal of Biomedical Informatics|December 3, 2014
Portable automatic text classification for adverse drug reaction detection via multi-corpus trainingAbeed Sarker, Graciela Gonzalez
Journal of Biomedical Informatics|November 17, 2018
An unsupervised and customizable misspelling generator for mining noisy health-related text sourcesAbeed Sarker, Graciela Gonzalez-Hernandez
Methods of Information in Medicine|December 29, 2021
A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on OpioidsLinyi Li, Adela Grando, Abeed Sarker
Studies in Health Technology and Informatics|January 25, 2024
Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based ModelsYuting Guo, Yao Ge, Abeed Sarker
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
SOCIAL MEDIA MINING SHARED TASK WORKSHOPAbeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez
International Journal of Dermatology|February 14, 2017
Dermatologic concerns communicated through TwitterAbeed Sarker, Arjun Magge, Amit Sharma
Pageof 12

Showing results (1-10 of 114) with videos related to

Sort By:
Pageof 12
Bioinformatics (Oxford, England)|November 27, 2020
LexExp: a system for automatically expanding concept lexicons for noisy biomedical textsAbeed Sarker
JAMIA Open|September 6, 2021
Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reportsAbeed Sarker, Yao Ge
Informatics for Health & Social Care|June 3, 2022
Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunitiesWhitney Bremer, Abeed Sarker
Data in Brief|December 17, 2016
A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilitiesAbeed Sarker, Graciela Gonzalez
Journal of Biomedical Informatics|December 3, 2014
Portable automatic text classification for adverse drug reaction detection via multi-corpus trainingAbeed Sarker, Graciela Gonzalez
Journal of Biomedical Informatics|November 17, 2018
An unsupervised and customizable misspelling generator for mining noisy health-related text sourcesAbeed Sarker, Graciela Gonzalez-Hernandez
Methods of Information in Medicine|December 29, 2021
A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on OpioidsLinyi Li, Adela Grando, Abeed Sarker
Studies in Health Technology and Informatics|January 25, 2024
Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based ModelsYuting Guo, Yao Ge, Abeed Sarker
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
SOCIAL MEDIA MINING SHARED TASK WORKSHOPAbeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez
International Journal of Dermatology|February 14, 2017
Dermatologic concerns communicated through TwitterAbeed Sarker, Arjun Magge, Amit Sharma
Pageof 12