ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets
Published in PloS one, 2022
Publications
Toward using twitter for tracking covid-19: A natural language processing pipeline and exploratory data set
Published in Journal of medical Internet research, 2021
Overview of the sixth social media mining for health applications (SMM4H) shared tasks at naacl 2021
Published in In the proceedings of Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task, 2021
DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
Published in Journal of the American Medical Informatics Association, 2021
Addressing Extreme Imbalance for Detecting Medications Mentioned in Twitter User Timelines
Published in In the proceedings of International Conference on Artificial Intelligence in Medicine, 2021
Overview of the fifth social media mining for health applications (# smm4h) shared tasks at coling 2020
Published in In the proceedings of Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task, 2020
GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography
Published in Bioinformatics, 2020
Overview of the fourth social media mining for health (SMM4H) shared tasks at ACL 2019
Published in In the proceedings of Proceedings of the Fourth Social Media Mining for Health Applications (# SMM4H) Workshop & Shared Task, 2019
Semeval-2019: Toponym resolution in scientific papers
Published in In the proceedings of Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
ZooPhy: A bioinformatics pipeline for virus phylogeography and surveillance
Published in Online Journal of Public Health Informatics, 2019
Comment on:“Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
Published in Journal of the American Medical Informatics Association, 2019
Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography
Published in Virus evolution, 2019
Deep neural networks ensemble for detecting medication mentions in tweets
Published in Journal of the American Medical Informatics Association, 2019
2019 Biomedical Information Extraction Pipelines For Public Health In The Age Of Deep Learning
Published in , 1900
title: “Biomedical Information Extraction Pipelines for Public Health in the Age of Deep Learning” collection: publications permalink: /publication/2019-Biomedical-Information-Extraction-Pipelines-for-Public-Health-in-the-Age-of-Deep-Learning date: 2019-12-01 venue: ‘PhD dissertation’ paperurl: ‘https://repository.asu.edu/items/55694’ — Access paper here
Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.
Published in In the proceedings of Pacific Symposium on Biocomputing, 2019
Deep neural networks and distant supervision for geographic location mention extraction
Published in Bioinformatics, 2018
Clinical NER and relation extraction using bi-char-LSTMs and random forest classifiers
Published in In the proceedings of International Workshop on Medication and Adverse Drug Event Detection, 2018
GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records
Published in Bioinformatics, 2018
A rule-based approach to determining pregnancy timeframe from contextual social media postings
Published in In the proceedings of Proceedings of the 2018 International Conference on Digital Health, 2018
Discovering cohorts of pregnant women from social media for safety surveillance and analysis
Published in Journal of medical Internet research, 2017
Social media mining for identification and exploration of health-related information from pregnant women
Published in In the proceedings of Workshop on Mining Online Health Reports (MOHRS), Cambridge, UK, 2017
Dermatologic concerns communicated through Twitter.
Published in International journal of dermatology, 2017
CSaRUS-CNN at AMIA-2017 tasks 1, 2: under sampled CNN for text classification
Published in In the proceedings of CEUR Workshop Proceedings, 2017
2016 Fixed Verse Generation Using Neural Word Embeddings
Published in , 1900
title: “Fixed Verse Generation Using Neural Word Embeddings” collection: publications permalink: /publication/2016-Fixed-Verse-Generation-Using-Neural-Word-Embeddings date: 2016-07-01 venue: ‘Masters dissertation’ paperurl: ‘https://repository.asu.edu/items/39410’ — Access paper here