The project ClinCode – Computer-Assisted Clinical ICD-10 Coding for improving efficiency and quality in healthcare has been funded by Research Council of Norway for 2021-2023 at the Norwegian Centre for E-health Research in Tromsø. ClinCode will be using both Norwegian and Swedish electronic patient records and will therefore partly take part at DSV. Partners are DIPS, that is supplier of electronic health record systems in Norway and UNN, University Hospital of North Norway.
New Research assistant – Anastasios Lamproudis
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!
Talk by Alberto Blanco Garcés with the title Multi-label deep neural classification of health records in Spanish
Alberto Blanco Garcés visitor at DSV/Stockholm university from the University of the Basque country gave today a Zoomtalk with the title Multi-label deep neural classification of health records in Spanish.
Abstract
The seminar is about clinical text mining, a field of Natural Language Processing applied to biomedical informatics. The aim is to classify Electronic Health Records with respect to the International Classification of Diseases, which is the foundation for the identification of international health statistics and the standard for reporting diseases and health conditions. Within the framework of data mining, the goal is the multi-label classification, as each health record has assigned multiple International Classification of Diseases codes. We present our research advances and results by applying Deep Learning methods to EHRs in Spanish, exploring techniques such as Feed-forward Neural Networks, Recurrent Neural Networks and Transformers.
The talk was recorded here
The best results using 110 labels gave at most an F-score of 0.40 using as input 2.553 different ICD-10 codes distributed over 22,907 Electronic Health Records, see also Blanco et al 2020.
Ny lärobok i Medicinsk informatik 2021
Ny lärobok i Medicinsk informatik, Liber (2021) av Göran Petersson, Martin Rydmark, Anders Thurin redaktörer, och ett stort antal med författare. Ett kapitel Textanalys, skrevs av Hercules Dalianis och Sumithra Velupillai. Bläddra i Smakprov här och se innehållet i de 31 kapitlen.
New PhD Student – Thomas Vakili
Hello! My name is Thomas Vakili and I am a new PhD student here at DSV in the IS unit. I will be working on NLP and de-identification of medical records with Professor Hercules Dalianis as my supervisor.
I have a MSc in computer science (civ.ing. i datateknik) from KTH, with a specialization in NLP. Before joining you here at DSV, I was employed as a IT consultant working with back-end development, data engineering and machine learning.
I’m looking forward to get to know you all and I am excited to embark on this journey!
2020 IBM Academic Award
Professor Lazar Rusu at Stockholm University has received in 2020 the IBM Academic Award for the research project entitled “Risks in Cloud Computing Relationships in Public Organizations”. The project aims to identify the risk factors in cloud computing relationships in public organizations and how to mitigate these risks.
Papers published in Lecture Notes in Business Information Processing and accepted in Procedia Computer Science and International Journal of Innovation in the Digital Economy
A paper written by Parisa Aasi, Jovana Nikic, Melisa Li, and Lazar Rusu, and entitled: “The Influence of Cloud Computing on IT Governance in a Swedish Municipality” has been published in Lecture Notes in Business Information Processing (LNBIP) 402, pp. 623-639, Springer, 2020 (Best Theoretical Paper Award)
A paper written by Lazar Rusu, Balasuriya L.P. Balasuriya, and Ousman Bah and entitled: “Cultural Barriers in Digital Transformation in a Public Organization: A Case Study of a Sri-Lankan Organization” has been published in Lecture Notes in Business Information Processing (LNBIP) 402, pp. 640-656, Springer, 2020
A paper written by Georg Hodosi, Arif Haider, and Lazar Rusu and entitled: “Risk Factors in Cloud Computing Relationships: A Study in Public Organizations in Sweden” has been accepted for publication in Procedia Computer Science, Elsevier, 2020.
A paper written by Teo Lo Piparo, Georg Hodosi, and Lazar Rusu and entitled “Service Level Agreement Negotiation in Cloud Computing Buying Organizations” has been accepted for publication in International Journal of Innovation in the Digital Economy, Vol. 12, Issue 3, IGI Global, 2021.
A paper written by Simin Sigari, Adnan Altunyurt, and Lazar Rusu and entitled “Barriers in Digital Transformation: A Case Study of an IT Company in Sweden” has been accepted for publication in International Journal of Innovation in the Digital Economy, Vol. 12, Issue 4, IGI Global, 2021.
Best Theoretical Paper Award at 17th European, Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2020)
The paper entitled “The Influence of Cloud Computing on IT Governance in a Swedish Municipality” (authors: Parisa Aasi, Jovana Nikic, Melisa Li, Lazar Rusu) presented at 17th European, Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2020) has received the “Best Theoretical Paper Award”.
