DASH

News and Events

Early sepsis detection – Best paper award – ICTAI 2022

Award, Research Paper, SYSLAB

The 34th IEEE International Conference on Tools with Artificial Intelligence was held virtually from 31s of October to the 2nd of November. With Aron Henriksson and in collaboration with Karolinska Institutet we presented our paper “Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization” and we are very happy to announce that we received the best paper award. In the paper that will be published in the proceedings of the conference, we explore the capabilities of using custom objective functions to develop a machine learning model that can perform sepsis prediction over time in a manner that will be useful for practitioners in assisting them to perform timely intervention and initiate treatment early, which is key to survival.

 

 

 

 

 

 

 

 

LREC 2022 – Accepted papers

Health Informatics, Publication, Research Paper, SYSLAB

Hello everyone!

We have two new papers accepted to the 13th Language Resources and Evaluation Conference, LREC 2022 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!

 

 

New Research assistant – Anastasios Lamproudis

Health Informatics, SYSLAB

Hi everyone! My name is Anastasios Lamproudis, or just Tasos! I recently started working as a research assistant for Professors Hercules Dalianis and Aron Henriksson. I will be working with Natural Language Processing (NLP) in the DataLEASH, and Sepsis prediction projects.

I hold an M.Sc. in Machine Learning from KTH university with a background in Physics from AUTH university in Greece. I have also worked as a thesis intern in Doktor24 with NLP.

I look forward to meeting everyone and working with you!