New Employee (Research Assistant) – Yash Pawar

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

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.

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

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

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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Prof. Anna Dreber talk on (Predicting) replication outcomes, May 12, 2021

Speaker: Anna Dreber, professor, Stockholm School of Economics

Title: (Predicting) replication outcomes

Abstract
Why are there so many false positive results in the published
scientific literature? And what is the actual share of results
that do not replicate in different literatures in the experimental
social sciences? I will discuss several recent large replication
projects, as well as our studies on “wisdom-of-crowds” mechanisms
like prediction markets and forecasting surveys where researchers
attempt to predict replication outcomes as well as new outcomes.

Time: Wednesday May 12, 2021, 13-14.00
Recording

Bio
Anna Dreber is the Johan Björkman Professor of Economics at the
Stockholm School of Economics, as well as a Wallenberg Scholar
and a member of the Royal Swedish Academy of Sciences.
Her research is mainly in meta-science and behavioral economics,
please see https://sites.google.com/site/annadreber/ for more.

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Three papers accepted to NoDaLiDa 2021

Three papers from the Clinical Text Mining group accepted to the Nordic Conference on Computational Linguistics, NoDaLiDa 2021,

  • Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records by Mila Grancharova and Hercules Dalianis.
  • Creating and Evaluating a Synthetic Norwegian Clinical Corpus for De-Identification by Synnøve Bråthen, Wilhelm Wie and Hercules Dalianis.
  • HB Deid – HB De-identification tool demonstrator by Hanna Berg and Hercules Dalianis.

 

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New Employee (Amanuens) – Sonja Remmer

Hi everybody!
 
My name is Sonja, and I just started working half-time with Hercules Dalianis and the Clinical Text Mining Group. While working, I’m finishing my master’s thesis within the DSV program in Decision analysis and Data science. The focus of the thesis and some of my work at DSV is automatically pairing discharge summaries with diagnosis (ICD-10) codes using text classification. 
 
I have a background in statistics and economics, and I’ve also studied a bit of philosophy and politics in the past. As a side project, I’m working at Stockholm School of Economics, writing a journal scraping algorithm.
 
I’m looking forward to meeting you all! When I’m at DSV, you’ll find me sitting with the rest of the IS unit 🙂


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