Hossein Mohammadhassanzadeh
Hossein Mohammadhassanzadeh
Postdoctoral Research Fellow, McGill University
Verified email at muhc.mcgill.ca - Homepage
Title
Cited by
Cited by
Year
Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support
H Mohammadhassanzadeh, W Van Woensel, SR Abidi, SSR Abidi
BioData mining 10 (1), 1-31, 2017
162017
A semantic web-based approach to plausible reasoning for improving clinical knowledge engineering
H Mohammadhassanzadeh, W Van Woensel, SR Abidi, SSR Abidi
2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016
112016
Using Natural Language Processing to Examine the Uptake, Content, and Readability of Media Coverage of a Pan-Canadian Drug Safety Research Project: Cross-Sectional …
H Mohammadhassanzadeh, I Sketris, R Traynor, S Alexander, B Winquist, ...
JMIR formative research 4 (1), e13296, 2020
62020
Using user similarity to infer trust values in social networks regardless of direct ratings
H Mohammadhassanzadeh, HR Shahriari
2012 9th International ISC Conference on Information Security and Cryptology …, 2012
62012
Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics
H Mohammadhassanzadeh, SR Abidi, W Van Woensel, SSR Abidi
2018 IEEE 27th International Conference on Enabling Technologies …, 2018
52018
SeDAn: a Plausible Reasoning Approach for Semantics-based Data Analytics in Healthcare
H Mohammadhassanzadeh, SR Abidi, MS Shah, M Karamollahi, ...
Workshop on Artificial Intelligence with Application in Health, 2017
52017
Prediction of User's Trustworthiness in Web-based Social Networks via Text Mining.
H Mohammadhassanzadeh, HR Shahriari
ISeCure 5 (2), 2013
52013
Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases
W Van Woensel, H Mohammadhassanzadeh, SR Abidi, SSR Abidi
Proceedings of International Workshop on Biomedical Data Mining, Modeling …, 2015
42015
Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases
W Van Woensel, H Mohammadhassanzadeh, SR Abidi, SSR Abidi
Proceedings of International Workshop on Biomedical Data Mining, Modeling …, 2015
42015
Using Natural Language Processing to Examine the Media Uptake of a Study on Isotretinoin Safety
H Mohammadhassanzadeh, SA Stewart, R Traynor, S Alexander, ...
Special Issue: Abstracts of the 33rd International Conference on …, 2017
12017
On Path to Informing Hierarchy of Eplet Mismatches as Determinants of Kidney Transplant Loss
H Mohammadhassanzadeh, K Oualkacha, W Zhang, W Klement, ...
Kidney International Reports, 2021
2021
Matchmaker, matchmaker make me a match: Opportunities and challenges in optimizing compatibility of HLA eplets in transplantation
W Lemieux, H Mohammadhassanzadeh, W Klement, C Daniel, ...
International Journal of Immunogenetics 48 (2), 135–144, 2021
2021
Plausible Reasoning Over Knowledge Graphs: A Novel Approach for Semantics-based Health Data Analytics
H Mohammadhassanzadeh
2020
Correction: Using Natural Language Processing to Examine the Uptake, Content, and Readability of Media Coverage of a Pan-Canadian Drug Safety Research Project: Cross-Sectional …
H Mohammadhassanzadeh, I Sketris, R Traynor, S Alexander, B Winquist, ...
JMIR formative research 4 (6), e20211, 2020
2020
Immune-Mediated Injury and Eplet Mismatches-Profiling Population-Level Interactions
H Mohammadhassanzadeh, W Zhang, W Klement, H Gebel, P Keown, ...
AMERICAN JOURNAL OF TRANSPLANTATION 20, 579-579, 2020
2020
Impact of Eplet Mismatches on the Risk of Graft Loss: Not All Eplets are Created Equal
H Mohammadhassanzadeh, W Klement, H Gebel, B Foster, P Keown, ...
AMERICAN JOURNAL OF TRANSPLANTATION 20, 329-329, 2020
2020
Ranking Eplet Mismatches as Predictors of Graft Failure
W Zhang, H Mohammadhassanzadeh, K Oualkacha, H Gebel, W Klement, ...
AMERICAN JOURNAL OF TRANSPLANTATION 20, 406-406, 2020
2020
Using Natural Language Processing to examine the uptake, content and readability of media related to an observational research study on isotretinoin exposure and pregnancy
H Mohammadhassanzadeh, I Sketris, R Traynor, S Alexander, B Winquist, ...
2020
An Empirical Study of Predictability of Stock Index Movement in Tehran Stock Exchange with Machine Learning Techniques
H Mohammadhassanzadeh, M Farahikia, A Esfahanipour
9th International Industrial Engineering Conference, 2013
2013
Application of Fuzzy Logistic Regression in Forecasting Stock Market Index
M Farahikia, H Mohammadhassanzadeh
3rd Conference on Financial Mathematics & Applications, 2013
2013
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Articles 1–20