Theses undertaken at UMC
This page contains links to many of the theses undertaken at Uppsala Monitoring Centre.
23 documents found.
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thesis
Extracting Known Side Effects from Summaries of Product Characteristics (SmPCs) Provided in PDF Format by the European Medicines Agency (EMA) using BERT and Python
Independent thesis Advanced level, Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology. [Keywords: SmPCs, SPLs, Drug-ADRs, ADRs, NER, BERT, classification, token classification, extract ADR, detect ADR]
Author: Rinyarat Buakhao
Date: 2024-05-24 -
thesis
Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
Master of Science Programme in Information Technology Engineering, Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Division of Scientific Computing. [Keywords : Machine Learning, Natural Language Processing, NLP, BERT, Active Learning, AL, Pharmacovigilance, UMC, Uppsala Monitoring Centre, Structured Product Label, SPL, Transformers, Domain-Specific Pretraining, NER, Named Entity Recognition, Adverse Drug Reaction, ADR]
Author: Erik Norén
Date: 2023-10-02 -
thesis
Automated Application Security Testing in Two Pharmacovigilance Systems
Independent thesis Advanced level (degree of Master), Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Author: Daniel Fehrm
Date: 2023-09-08 -
thesis
Named Entity Recognition for Case Narratives of Adverse Event Reports
Independent thesis Advanced level (degree of Master), Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Author: Jayant Yadav
Date: 2023-06-01 -
thesis
Extracting drug indications from Structured Product Labels using Deep Learning techniques
Master's Thesis / Essay, Computational Cognitive Science, Rijksuniversiteit Groningen, Faculty of Science and Engineering.
Author: Magdalena Bilska
Date: 2022-10-01 -
thesis
Creation of a Next-Generation Standardized Drug Grouping for QT Prolonging Reactions using Machine Learning Techniques
Uppsala University, Master Programme in Engineering Physics. [Keywords : Pharmacovigilance, Adverse Drug Reactions, MedDRA, VigiBase, WHODrug Global, QT prolongation, Torsades de Pointes, Individual Case Safety Reports, Text Recognition, Standardised Drug Grouping, Multinomial Logistic Regression, BERT]
Author: Elsa Rådahl, Jacob Tiensuu
Date: 2021-06-01 -
thesis
Prediction of Drug Indication List by Machine Learning
Master of Arts degree in Statistics in the Faculty of Social Sciences, Uppsala University. [Keywords : regression tree, random forests, XGBoost, drug indication, support vector regression.]
Author: Bolin Wu
Date: 2021-06-01 -
thesis
Mapping medical expressions to MedDRA using Natural Language Processing
Independent thesis Advanced level (degree of Master), Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology. [Keywords : Classification, Machine Learning, ML, Natural Language Processing, NLP, BERT]
Author: Vanja Wallner
Date: 2020-11-01 -
thesis
Extracting Adverse Drug Reactions from Product Labels using Deep Learning and Natural Language Processing
Independent thesis Advanced level (degree of Master), KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health.
Author: Shachi Bista
Date: 2020-06-01 -
thesis
Improving the speed and quality of an Adverse Event cluster analysis with Stepwise Expectation Maximization and Community Detection
Independent thesis Advanced level, Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. [Keywords : Adverse Drug Reactions, Pharmacovigilance, Cluster Analysis, Stepwise Expectation Maximization, Community Detection, Topic Modelling]
Author: Nils Erlanson
Date: 2020-06-01 -
thesis
Retrospective disproportionality analysis to investigate the usefulness of the WHODrug Standardised Drug Groupings in the pharmacovigilance signal detection process
Independent thesis Advanced level (degree of Master), Uppsala University, Faculty of Pharmacy, Department of Pharmaceutical Biosciences (Pharmacometrics). [Keywords : pharmacovigilance, adverse event, adverse drug reaction, individual case safety report, signal]
Author: Iñigo Ortiz de Salazar
Date: 2020-01-01 -
thesis
Drug Name Recognition in Reports on Concomitant Medication
Independent thesis Advanced level, Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Division of Systems and Control. [Keywords : Machine Learning, Natural Language Processing, Drug Name Recognition, Classification]
Author: Arvid Gräns
Date: 2019-06-01 -
thesis
Deep Neural Networks for Inverse De-Identification of Medical Case Narratives in Reports of Suspected Adverse Drug Reactions
Independent thesis Advanced level (degree of Master), KTH, School of Electrical Engineering and Computer Science (EECS). [Keywords : De-Identification, Deep Learning, Recurrent Neural Networks, Natural Language Processing, Pharmacovigilance, Medical Language Processing, Privacy Protection, Adverse Drug Reactions]
Author: Eva-Lisa Meldau
Date: 2018-02-01 -
thesis
Investigating the scaleability of analyzing and processing RDBMS datasets with Apache Spark
Independent thesis Basic level (degree of Bachelor), Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science.
Author: Ferhat Bahceci
Date: 2018-02-01 -
thesis
Extraction of Severity Information from Clinical Narratives Using Statistical Natural Language Processing
Master’s thesis in Complex Adaptive Systems, Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden. [Keywords : natural language processing, information extraction, relation extraction, pharmacovigilance, machine learning]
Author: Rebecka Jacobsson
Date: 2016-09-01 -
thesis
Automatic de-identification of case narratives from spontaneous reports in VigiBase
Independent thesis Advanced level, Uppsala University, Department of Information Technology, Division of Computer Systems. [Keywords : de-identification, svm, crf, regex, VigiBase, i2b2]
Author: Jakob Sahlström
Date: 2015-09-01 -
thesis
Deviating time-to-onset in predictive models - detecting new adverse effects from medicines
Independent thesis Advanced level, Uppsala University, Disciplinary Domain of Science and Technology, Biology, Biology Education Centre. [Keywords : data mining, Kolmogorov-Smirnov test, predictive model, signal detection, time-to-onset]
Author: Caroline Wärn
Date: 2015-06-01 -
thesis
Quantitative methods to support drug benefit-risk assessment
Doctoral thesis. Department of Computer and Systems Sciences, Stockholm University
Author: Ola Caster
Date: 2014-03-21 -
thesis
Safety of Medication in Paediatrics
Doctoral thesis, Uppsala University, Department of Public Health and Caring Sciences
Author: Kristina Star
Date: 2013-05-16 -
thesis
Drug interaction surveillance using individual case safety reports
Doctoral thesis, Department of Medical and Health Sciences, Clinical Pharmacology. Linköping University, Faculty of Health Sciences. [Key words : Adverse drug reactions, adverse drug interaction surveillance, drug interactions, individual case safety reports, postmarketing pharmacovigilance, signal detection]
Author: Johanna Strandell
Date: 2011-09-07 -
thesis
Statistical methods for knowledge discovery in adverse drug reaction surveillance
PhD thesis, Stockholm University, Faculty of Science, Department of Mathematics
Author: Niklas Norén
Date: 2007-06-01 -
UMC material thesisSeeing and Observing in International Pharmacovigilance - Achievements and Prospects in Worldwide Drug Safety
Doctoral thesis presented 2003, University of Nijmegen. Dr Marie Lindquist (pdf, 11 Mb).
Author: Marie Lindquist
Date: 2003-06-11 -
thesis
The use of a Bayesian Confidence Propagation Neural Network in pharmacovigilance
PhD thesis, Division of Clinical Pharmacology, Umeå University, Faculty of Medicine, Department of Pharmacology and Clinical Neuroscience, Pharmacology. [Key words: adverse drug reactions, pharmacovigilance, signal detection, spontaneous reporting, data mining, Bayesian statistics, BCPNN, neural network]
Author: Andrew Bate
Date: 2003-06-07