Hegler Tissot

Assistant Teaching Professor Pronouns: he/him/his/himself

Information Science

Hegler Tissot

Assistant Teaching Professor Pronouns: he/him/his/himself

Information Science

Biography

Hegler Tissot has been dedicating his career to computer science, more recently focusing his research in Health Informatics. He has been mostly working with information systems, databases, and knowledge engineering. With over 30 years of experience, he worked in designing large transactional and analytical database systems in many industry sectors. He also has large experience in data mining and data visualization techniques, both applied in several projects within the Financial, Telecom and Healthcare industry sectors, the latter for more than 15 years.

Research Interests

His main interests in Data Science range from Knowledge Representation, Reasoning, Machine Learning, Natural Language Processing (NLP), Ontologies, Pattern Recognition, Statistical Analysis, and Information Extraction. His research is mostly focused on applying those technologies to unlock clinical evidence from patient data and improve healthcare related services within the clinical domain, targeting the design and development of clinical predictive and risk assessment models.

Academic Distinctions

PhD, Computer Science, Universidade Federal do Paraná
MS, Production Engineering, Universidade Federal de Santa Catarina
BS, Computer Science, Universidade Federal do Paraná

CV
Select Publications
- Improving Risk Assessment of Miscarriage during Pregnancy with Knowledge Graph Embeddings. 2021. Journal of Healthcare Informatics Research. DOI: 10.1007/s41666-021-00096-6
- Novel Perspectives and Applications of Knowledge Graph Embeddings: From Link Prediction to Risk Assessment and Explainability. 2021. Research Challenges in Information Science, pp 91-106, Springer International Publishing.
- An Information Extraction Approach to Compare Coronavirus Vaccine Development from ClinicalTrials.gov – Master’s dissertation supervision, 2020.
- Relative and Incomplete Time Expression Anchoring for Clinical Text. The 3rd Clinical Natural Language Processing Workshop at EMNLP 2020. November 19, 2020.
- ICD-10 coding based on semantic distance: LSI_UNED at CLEF eHealth 2020 Task 1. September 2020, Thessaloniki – Greece
- Natural language processing for mimicking clinical trial recruitment in critical care: a semi-automated simulation based on the LeoPARDS trial. – Mar-2020. In: IEEE Journal of Biomedical and Health Informatics. DOI 10.1109/JBHI.2020.2977925.
- Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data. – Feb, 2020. StarAI 2020 9th International Workshop on Statistical Relational AI. New York, USA.
- Clinical Knowledge Graph Embedding Representation Bridging the Gap Between Electronic Health Records and Prediction Models. – Dez, 2019. ICMLA 2019 18th IEEE International Conference on Machine Learning and Applications. Boca Raton, Florida, USA.
- Time Expression Annotation for Multiple Clinical Specialties. – Nov, 2019. American Medical Informatics Association (AMIA) 2019 Annual Symposium Posters. Washington, D.C.
- Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions. – Aug, 2019. In: Proceedings of the 18th BioNLP Workshop and Shared Task. Florence, Italy.
- Normalisation of imprecise temporal expressions extracted from text. – Feb, 2019. In: Knowledge and Information Systems, v 61, pp 1361- 1394.
- HEXTRATO: Using Ontology-based Constraints to Improve Accuracy on Learning Domain-specific Entity and Relationship Embedding Representation for Knowledge Resolution. – Sep, 2018. In: 10th International Conference on Knowledge Discovery and Information Retrieval. Seville, Spain.
- Exploring logical and hierarchical information to map relational databases into ontologies. – 2019. JJMSO – International Journal of Metadata, Semantics and Ontologies, v.13-3, p. 191-208.
- Integrating Approximate String Matching with Phonetic String Similarity. – Sep, 2018. In: Advances in Databases and Information Systems. Budapest, Hungary.
- Identifying Misspelt Names of Drugs in Medical Records Written in Portuguese. – Apr, 2018. In: HealTAC-2018 UK Healthcare Text Analytics Conference – Unlocking Evidence Contained in Healthcare Free-text. Manchester, UK.
- Transparency Meets Management: A Monitoring and Evaluating Tool for Governmental Projects. – Oct, 2017. In: 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), pp. 1429–1435, Hammamet, Tunisia.
- (Book Chapter Organizer) C3SL: From education to public transparency, fifteen years developing computer systems for the Brazilian society. 2016. In: European Space project on Smart Systems, Big Data, Future Internet - Towards Serving the Grand Societal Challenges. Edited by Verena Kantere and Barbara Koch. Publisher: SCITEPRESS. ISBN: 978-989-758-207-3.
- Contrasting Rule-based and SVM Approaches to Time Expression Identification – Jun, 2015 Clinical TempEval, SemEval-2015, Denver, CO, USA.
- Analysis of Temporal Expressions Annotated in Clinical Notes – Apr, 201511th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (ISA-11), London, UK.
- Fast Phonetic Similarity Search over Large Repositories – Sep, 2014. DEXA 2014, Munich, Germany, Volume: 2 pages 74-81
- An Evolutionary Approach to Cascade Multiple Classifiers: A Case-Study to Analyze Textual Content of Medical Records and Identify Potential Diagnosis – Jan, 2014. International Journal of Scientific Research, v.3(1):170-178.
- Use of Backpropagation and Differential Evolution Algorithms on Training MLPs - Jan, 2012. 31st International Conference of the Chilean Computer Science Society (SCCC)
Professional Activities & Associations
- Member, Journal of Digital Health's Editorial Board

Hegler Tissot

Hegler Tissot

Biography

Research Interests

Academic Distinctions

CV

Select Publications

Professional Activities & Associations