Rebecka Weegar defended today January 27, 2020, successfully her PhD thesis , with the title Mining Clinical Text in Cancer Care. Opponent were Associate professor Lilja Øvrelid at Department of Informatics University of Oslo.
Nailing of Rebecka Weegar’s thesis
NoDaLiDa 2019 Conference in Turku, Finland
Hercules Dalianis and I recently attended NoDaLiDa 2019, the Nordic Conference on Computational Linguistics, in Turku (Åbo), Finland between September 30 to October 2 2019.
The first NoDaLiDa conference was in Gothenburg in 1977 and included 13 papers written on typewriters. The papers were in Swedish, Norwegian, Danish and English. This years rendition was considerably larger with over 75 papers presented during workshops or the main conference. None was written on a typewriter to my knowledge and all were in English. The papers did not only include research related to the Nordic languages, but also Spanish, Czech and Tibetan to name a few.
Both Hercules and I presented papers during the workshop on NLP and pseudonymization. I presented the paper Augmenting a De-identification System for Swedish Clinical Text Using Open Resources and Deep Learning, co-written with Hercules, and Hercules presented his paper Pseudonymisation of Swedish Electronic Patient Records Using a Rule-Based Approach.
We have written a report from the conference, which is available in Swedish.
All the best,
Hanna
Kunstig intelligens i helsetjenesten Bodø 18-19 juni 2019
Jag är inbjuden talare till konferensen Kunstig intelligens i helsetjenesten i Bodø, Norge, 18-19 juni 2019. Bodø ligger norr om Polcirkeln. Konferensen har över 320 deltagare från hela Norge både inom forskning, hälsovård, administration och företag men också inbjudna deltagare från hela världen. Temat är artificiell intelligens och hälsovård och flera talare ger exempel på det Jianying Hu IBM Watson forskningslab George Vazmatis, Mayo Clinic, Rochester Minnesota, David Albers Columbia University och Narges Razavian New York University, USA, Max Gordon, Karolinska Institutet, men också Anne Grethe Erlandsen statssekretær i Helse- og omsorgsdepartementet pch Bjørn Guldvog, generaldirektør Helsedirektoratet. Alla talarna talade om hur man ska använda deep learning/maskininlärning för att bearbeta kliniska data för att förstå komplexa data från DNA-sekvenser, radiologibilder, patientjournaldata och text. Jag har talat om Clinical Text Mining- Secondary use of electronic patient records och olika tillämpningar kring detta.
Erasmus+ at Athens University of Economics and Business
I have been at Athens University of Economics and Business (AUEB) for a month teaching a course called Clinical Text Mining at their Master program in Data Science. This is an exchange through Erasmus+.
I have enjoyed it a lot and also visiting associate professor Ion Androutsopoulos and his post doc Jannis Pavlopoulos at the AUEB Natural Language Processing group and learned a lot of new things among them how to generate text from radiology images.
Maria Bampa, new employee
Hej I am Maria!
I have been working as a research assistant, here at the Department of Computer and System Sciences at Stockholm University since April 2019 jointly at IS unit and at SAS unit. I am working on a project until the end of August, for the prediction of adverse drug events utilizing data from electronic health records and my supervisors are Panos Papapetrou and Hercules Dalianis.
I have a Master’s in Health Informatics where I was introduced to various courses concerning tools, standardization and data science for health informatics. During my undergraduate studies at Athens University of Economics and Business, I was introduced to Computer Science and Information Systems and their managerial applications. I gained a firm footing on Information Technology by attending various courses like Programming in several languages, Mathematics, Databases, and Theoretical Computer Science.
My time here at DSV has been great and fun, working with well educated and knowledgeable people!
Hanna Berg, new employee
Hi! My name is Hanna Berg and I have been working here at DSV as a programmer/research assistant in the Clinical Text Mining Group since April. Together with Hercules Dalianis I am working in a project about de-identification and pseudonymization of patient health information in medical records. I will be working here until December.
My background is partly in linguistics, medicine and psychology from the Speech and Language Pathology Programme at Karolinska Institute, and partly in computer science from my time as a student here at DSV.
I have already met a lot of nice people and and getting to know all of you better!
2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
Hello everyone. I hope you are all fine and enjoying this beautiful winter. 🙂
Recently I have attended the EMNLP 2018 conference. It was held in Brussels, Belgium at the city center from 31 October to 04 November.
Just a few statistics about the conference,
EMNLP 2018 had 14 workshops, six tutorials, three invited speakers, 351 long paper presentations, 198 short paper presentations, 10 TACL paper presentations, and 29 demos. It received 2,231 valid submissions, a 48% increase over EMNLP 2017.
I attended the ”LOUHI 2018”, the Ninth International Workshop on Health Text Mining and Information Analysis and the BlackboxNLP: Analyzing and interpreting neural networks for NLP workshop. The ”LOUHI 2018”, the health text mining and information analysis workshop provided an excellent overview of the current trend in this area. The total number of attendee was close to a hundred. I have observed that most of the works there are based on deep neural networks, and they have particular importance on interpretability. The BlackboxNLP workshop was focused on this interpretability issue, and I have learned some recent trends there. I have written a short report about some papers of the the conference that can be sent on request.
Brussels is a magnificent city. During the lunchtime, I tried to visit as much as possible the city center. I tried the Belgian chocolate, french fries, and the famous waffle. They were mouth watering delicious.
Overall it was an excellent experience for me. I met a lot of new people who are working in the same direction as mine. I learned some new concepts. Most importantly, it gave me immense strength and assurance that, I am not alone in this journey. There are a lot of researchers in this area. I can always learn from them.