LREC 2022 – Accepted papers

Posted on May 17, 2022 by anastasios

Hello everyone!

We have two new papers accepted to the LREC 2022 conference that takes place in Marseille the upcoming June!

The first paper is authored by Thomas Vakili, Aron Henriksson, Hercules Dalianis, and me and is called “Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data” with code 412. It evaluates the performance of a language model that is trained using De-identified clinical text in later tasks, and explores the de-identification impact in the development of the language model.

The second paper is authored by Aron Henriksson, Hercules Dalianis, and me and is called “Evaluating Pre-training Strategies for Clinical BERT Models” with code 661. It empirically compares different pre-training strategies for the development of domain-adapted language models in the Swedish clinical text domain.

You can find all the accepted papers including the ones mentioned above here!

 

 

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Ph.D. Funding for Research in IT Management and Governance from Swedish Research School of Management and Information Technology (MIT)

Posted on March 29, 2022 by Lazar Rusu

The application submitted in this year to Swedish Research School of Management and Information Technology (MIT) for Ph.D. funding for research in IT management and governance at DSV/Stockholm University has been successfully. In the next five years DSV will receive 1.750.000 SEK from MIT for co-financing a Ph.D. position in IT management and governance. For more information about Swedish Research School of Management and Information Technology (MIT) please access the following link: http://www.mit.uu.se/

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AAAI Fall Symposium and EMNLP – November 2021

Posted on November 23, 2021 by thomasvakili

Professor Hercules Dalianis and I got a paper about the privacy preserving qualities of BERT accepted to the AAAI Fall Symposium on Human Partnership with Medical Artificial Intelligence! The paper is titled Are Clinical BERT Models Privacy Preserving? The Difficulty of Extracting Patient-Condition Associations. Our results strongly suggest that BERT’s poor generative capabilities makes it resistant to training data extraction attacks. Other models, such as GPT-2, have been shown to be susceptible to these attacks. From a privacy perspective, being a poor generator may be a feature!

Later in the same week, I flew from Stockholm to Punta Cana in the Dominican Republic to participate at EMNLP 20211. Almost 500 participants were there, with the total number of participants exceeding 4,000. There were many interesting presentations regarding NLP in general, but also some that were specifically about the privacy aspects of NLP. It was a great experience to learn where the field is headed and also to get to know many talented researchers. I have written a summary of some of the interesting papers – reach out if you are interested in it.

1: EMNLP stands for Empirical Methods in Natural Language Processing

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New Employee (Research Assistant) – Yash Pawar

Posted on October 8, 2021 by yash

Hi Everyone!

My name is Yash. I recently started working at DSV as a Research Assistant with Aron Henriksson. I will be working on a project that is aimed at developing Machine Learning models for the outcome prediction of COVID-19 hospitalizations using structured and text data. I will also be working as a Teaching Assistant for the courses BIG DATA and NLP.

I recently completed my Masters degree in Statistics and Machine Learning from Linköping University and hold a Bachelors in Electronics and Telecommunications from the College of Engineering Pune, India. 

I am glad to be here and I look forward to meeting you all!  🙂

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DSV at the First ClinCode Conference in Tromsø, Norway

Posted on October 6, 2021 by thomasvakili

Professor Hercules Dalianis, Sonja Remmer and myself represented DSV at the First ClinCode Conference. The conference gathered experts in medicine and computer science from across the Nordics and took place at the University Hospital of North Norway (UNN) in Tromsø.

The conference was chaired by Hercules, who is also a guest professor at the Norwegian Centre for E-health Research. Sonja shared her work on automatic ICD-10 classification using BERT and I spoke about the difficulty of extracting training data from clinical BERT models.

Several participants had an industry or medical background. This provided valuable insights into how our research at DSV may be used in practice and what challenges are most important. It also highlighted the great potential that can be unlocked by continuing to investigate ICD-10 classification and other medical NLP problems.

Many excellent ideas were hatched in the discussions, and it was lovely to visit the beautiful polar city of Tromsø. Personally, I really look forward to future iterations of the conference!

Press release

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Three papers accepted to the International Conference Recent Advances in Natural Language Processing, RANLP 2021, September 1-3, 2021, Bulgaria.

Posted on August 26, 2021 by Hercules

Three papers accepted to the International Conference Recent Advances in Natural Language Processing, RANLP 2021, September 1-3, 2021 in Varna, Bulgaria,
from the Clinical Text Mining group at DSV: 

Sonja Remmer, Anastasios Lamproudis and Hercules Dalianis.
Multi-label Diagnosis Classification of Swedish Discharge Summaries – ICD-10 Code Assignment Using KB-BERT. 

Alberto Blanco, Sonja Remmer, Alicia Pérez, Hercules Dalianis and Arantza Casillas.
On the contribution of per-ICD attention mechanisms to classify health records in languages with fewer resources than English. 

Anastasios Lamproudis, Aron Henriksson and Hercules Dalianis. 
Developing a Clinical Language Model for Swedish: Continued Pretraining of Generic BERT with In-Domain Data. 

The first paper in collaboration with the Norwegian Centre for E-health Research in Tromsø. Norway and the second paper also with the HiTZ Center – Ixa, University of the Basque Country UPV/EHU, Donostia, Spain.

The two first papers study how to automatically assign ICD-10 diagnosis codes to a discharge summary, for Swedish and for Spanish a respectively. Usually this time consuming work is carried out manually by a physician or a coder.We use machine learning and specifically Deep AI Learning to perform this and already manually assign codes to discharges summaries.

In the third paper is constructed a clinical deep learning BERT model for Swedish that performs much better than a regular non-clinical model for clinical down stream tasks as for example automatic ICD-10 diagnosis coding. 

 

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Distinguished Member of Association for Information Systems

Posted on July 8, 2021 by Lazar Rusu

I am very happy and proud that Association for Information Systems (AIS) member program has recognized my activity to have a significant impact on the association and made me a Distinguished Member of AIS (https://aisnet.org/page/DistinguishedMemberList).  

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Paper published in AMCIS 2021 Proceedings is among the Most Popular Papers

Posted on July 4, 2021 by Lazar Rusu

The results of the research work done by Rahmat Mulyana, Lazar Rusu and Erik Perjons (all members of research group in IT Management and Governance at DSV) in IT Governance and Digital Transformation areas has raised the interest of the worldwide IS community, like is the  the Americas Conference on Information Systems (AMCIS) conference, that is a top conference in IS area. Their paper entitled IT Governance Mechanisms Influence on Digital Transformation: A Systematic Literature Review published in AMCIS 2021 Proceedings is mentioned among the Most Popular Papers at AMCIS 2021 (https://aisel.aisnet.org/amcis2021/topdownloads.html).

 

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