Overview of the fifth social media mining for health applications (# smm4h) shared tasks at coling 2020

A Klein, I Alimova, I Flores, A Magge… - Proceedings of the …, 2020 - aclanthology.org
The vast amount of data on social media presents significant opportunities and challenges
for utilizing it as a resource for health informatics. The fifth iteration of the Social Media …

[HTML][HTML] The unified medical language system at 30 years and how it is used and published: systematic review and content analysis

X Jing - JMIR Medical Informatics, 2021 - medinform.jmir.org
Background The Unified Medical Language System (UMLS) has been a critical tool in
biomedical and health informatics, and the year 2021 marks its 30th anniversary. The UMLS …

Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach

A Hudon, M Beaudoin… - Health Informatics …, 2022 - journals.sagepub.com
Avatar Therapy (AT) is a modern therapeutic alternative for patients with schizophrenia
suffering from persistent auditory verbal hallucinations. Its intrinsic therapeutical process is …

[HTML][HTML] Use of automated thematic annotations for small data sets in a psychotherapeutic context: systematic review of machine learning algorithms

A Hudon, M Beaudoin, K Phraxayavong… - JMIR mental …, 2021 - mental.jmir.org
Background A growing body of literature has detailed the use of qualitative analyses to
measure the therapeutic processes and intrinsic effectiveness of psychotherapies, which …

The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews

E Tutubalina, I Alimova, Z Miftahutdinov… - …, 2021 - academic.oup.com
Motivation Drugs and diseases play a central role in many areas of biomedical research and
healthcare. Aggregating knowledge about these entities across a broader range of domains …

Deep neural models for medical concept normalization in user-generated texts

Z Miftahutdinov, E Tutubalina - arXiv preprint arXiv:1907.07972, 2019 - arxiv.org
In this work, we consider the medical concept normalization problem, ie, the problem of
mapping a health-related entity mention in a free-form text to a concept in a controlled …

[HTML][HTML] Analyzing patient secure messages using a fast health care interoperability resources (FIHR)–based data model: development and topic modeling study

A De, M Huang, T Feng, X Yue, L Yao - Journal of medical Internet research, 2021 - jmir.org
Background Patient portals tethered to electronic health records systems have become
attractive web platforms since the enacting of the Medicare Access and Children's Health …

[HTML][HTML] The PsyTAR dataset: From patients generated narratives to a corpus of adverse drug events and effectiveness of psychiatric medications

M Zolnoori, KW Fung, TB Patrick, P Fontelo, H Kharrazi… - Data in brief, 2019 - Elsevier
Abstract The “Psychiatric Treatment Adverse Reactions”(PsyTAR) dataset contains patients'
expression of effectiveness and adverse drug events associated with psychiatric …

KFU NLP team at SMM4H 2019 tasks: Want to extract adverse drugs reactions from tweets? BERT to the rescue

Z Miftahutdinov, I Alimova… - Proceedings of the fourth …, 2019 - aclanthology.org
This paper describes a system developed for the Social Media Mining for Health (SMM4H)
2019 shared tasks. Specifically, we participated in three tasks. The goals of the first two tasks …

Measuring the value of a practical text mining approach to identify patients with housing issues in the free-text notes in electronic health record: findings of a …

E Hatef, G Singh Deol, M Rouhizadeh, A Li… - Frontiers in public …, 2021 - frontiersin.org
Introduction: Despite the growing efforts to standardize coding for social determinants of
health (SDOH), they are infrequently captured in electronic health records (EHRs). Most …