Maksim Belousov
Maksim Belousov
School of Computer Science, University of Manchester
Verified email at manchester.ac.uk - Homepage
Title
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Year
# WhyWeTweetMH: understanding why people use Twitter to discuss mental health problems
N Berry, F Lobban, M Belousov, R Emsley, G Nenadic, S Bucci
Journal of medical Internet research 19 (4), e107, 2017
732017
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
A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ...
Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018
342018
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
R Patel, M Belousov, M Jani, N Dasgupta, C Winokur, G Nenadic, ...
NPJ digital medicine 1 (1), 1-7, 2018
162018
Using an Ensemble of Generalised Linear and Deep Learning Models in the SMM4H 2017 Medical Concept Normalisation Task
M Belousov, W Dixon, G Nenadic
112017
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017
M Belousov, N Milosevic, W Dixon, G Nenadic
arXiv preprint arXiv:1905.11716, 2017
22017
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation
M Belousov, WG Dixon, G Nenadic
Proceedings of the Fourth Social Media Mining for Health Applications …, 2019
12019
Identifying signs of schizophrenia in Twitter using text mining techniques
M Belousov
12015
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
M Belousov, N Milosevic, G Alfattni, H Alrdahi, G Nenadic
arXiv preprint arXiv:1909.10390, 2019
2019
Mining Auditory Hallucinations from Unsolicited Twitter Posts
M Belousov, M Dinev, R Morris, N Berry, S Bucci, G Nenadic
Proceedings of LREC 2016 Workshop. Resources and Processing of Linguistic …, 2016
2016
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