Lista de obras -

A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities.

artículo científico publicado en 2016

An interpretable natural language processing system for written medical examination assessment

artículo científico publicado en 2019

An unsupervised and customizable misspelling generator for mining noisy health-related text sources

scientific article published on 13 November 2018

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts

artículo científico publicado en 2016

Authors' Reply to Jouanjus and Colleagues' Comment on "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter".

artículo científico publicado en 2017

Automatic evidence quality prediction to support evidence-based decision making

artículo científico publicado en 2015

Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text

artículo científico publicado en 2017

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

artículo científico publicado en 2020

Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"

artículo científico publicado en 2019

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task

article

Deep neural networks and distant supervision for geographic location mention extraction.

artículo científico publicado en 2018

Deep neural networks ensemble for detecting medication mentions in tweets

artículo científico publicado en 2019

Dermatologic concerns communicated through Twitter.

artículo científico publicado en 2017

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis.

artículo científico publicado en 2017

Extractive summarisation of medical documents using domain knowledge and corpus statistics.

artículo científico publicado en 2012

Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab

artículo científico publicado en 2018

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

artículo científico publicado en 2015

Portable automatic text classification for adverse drug reaction detection via multi-corpus training

artículo científico publicado en 2014

Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

artículo científico publicado en 2020

Query-oriented evidence extraction to support evidence-based medicine practice.

artículo científico publicado en 2015

Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource

artículo científico publicado en 2020

Social Media Mining for Birth Defects Research: A Rule-Based, Bootstrapping Approach to Collecting Data for Rare Health-Related Events on Twitter

article

Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.

artículo científico publicado en 2016

Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods

scientific article published on 01 August 2019

Utilizing social media data for pharmacovigilance: A review

artículo científico publicado en 2015

Lista de obras de

A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities.

An interpretable natural language processing system for written medical examination assessment

An unsupervised and customizable misspelling generator for mining noisy health-related text sources

Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts

Authors' Reply to Jouanjus and Colleagues' Comment on "Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter".

Automatic evidence quality prediction to support evidence-based decision making

Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task

Deep neural networks and distant supervision for geographic location mention extraction.

Deep neural networks ensemble for detecting medication mentions in tweets

Dermatologic concerns communicated through Twitter.

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis.

Extractive summarisation of medical documents using domain knowledge and corpus statistics.

Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features

Portable automatic text classification for adverse drug reaction detection via multi-corpus training

Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

Query-oriented evidence extraction to support evidence-based medicine practice.

Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource

Social Media Mining for Birth Defects Research: A Rule-Based, Bootstrapping Approach to Collecting Data for Rare Health-Related Events on Twitter

Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.

Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods

Utilizing social media data for pharmacovigilance: A review