User profiles for Maksim Belousov

Maksim Belousov

School of Computer Science, University of Manchester
Verified email at manchester.ac.uk
Cited by 411

[HTML][HTML] # WhyWeTweetMH: understanding why people use Twitter to discuss mental health problems

N Berry, F Lobban, M Belousov, R Emsley… - Journal of medical …, 2017 - jmir.org
Background Use of the social media website Twitter is highly prevalent and has led to a
plethora of Web-based social and health-related data available for use by researchers. As such, …

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

A Sarker, M Belousov, J Friedrichs… - Journal of the …, 2018 - academic.oup.com
Objective We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to
enable the community-driven development and large-scale evaluation of automatic text …

[PDF][PDF] The sphere of values and meaning of a person and its role in professional formation and development

…, GS Goloshumova, MV Belousov… - Journal of …, 2020 - scholar.archive.org
The current stage of development of Russian society is characterized by rather intense and
serious socio-economic, industrial, legal and spiritual-moral changes. These changes, due to …

[HTML][HTML] Extracting drug names and associated attributes from discharge summaries: text mining study

G Alfattni, M Belousov, N Peek… - JMIR medical …, 2021 - medinform.jmir.org
Background: Drug prescriptions are often recorded in free-text clinical narratives; making this
information available in a structured form is important to support many health-related tasks. …

[HTML][HTML] Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts

R Patel, M Belousov, M Jani, N Dasgupta… - NPJ digital …, 2018 - nature.com
In recent years, social media websites have been suggested as a novel, vast source of data
which may be useful for deriving drug safety information. Despite this, there are few …

[PDF][PDF] Using an Ensemble of Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task.

M Belousov, WG Dixon… - SMM4H@ AMIA, 2017 - healthlanguageprocessing.org
This paper describes a medical concept normalisation system developed for the 2nd Social
Media Mining for Health Applications Shared Task 3. The proposed system contains three …

Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017

M Belousov, N Milosevic, W Dixon… - arXiv preprint arXiv …, 2019 - arxiv.org
Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the
administration of a certain drug or a combination of drugs, presenting a challenge for drug …

Patient discussions of glucocorticoid-related side effects within an online health community forum

A Vivekanantham, M Belousov, L Hassan… - Annals of the …, 2020 - ard.bmj.com
Increasing numbers of patients are sharing their health-related experiences online in forums,
or on social media websites, such as Twitter and Facebook. This largely untapped source …

Mednorm: A corpus and embeddings for cross-terminology medical concept normalisation

M Belousov, WG Dixon, G Nenadic - Proceedings of the Fourth …, 2019 - aclanthology.org
The medical concept normalisation task aims to map textual descriptions to standard
terminologies such as SNOMED-CT or MedDRA. Existing publicly available datasets annotated …

P051 Development and evaluation of a text-analytics algorithm for automated application of the BSR COVID-19 shielding criteria in rheumatology patients

M Jani, G Alfattni, M Belousov, Y Zhang… - …, 2023 - academic.oup.com
ii46 POSTERS Page 1 physiotherapist and nurse. This innovation has expanded a traditionally
medical pathway to an MDT model utilising value-adding nonmedical expertise in …