Miro Schleicher has received the Marco Ramoni best paper award at the 20th Artificial Intelligence in Medicine (AIME) conference for his paper 'When can I expect the mHealth user to return? Prediction meets time series with gaps' (Miro Schleicher, Rüdiger Pryss, Winfried Schlee and Myra Spiliopoulou).

This work is within the frame of the UNITI project that encompasses machine learning methods for choosing the best treatment for each tinnitus patient. Treatments have an mHealth component, which assists the users towards self-empowerment and daily management of their disease. However, mHealth apps demand self-discipline; some users give up or interact very irregularly. The proposed method learns from the data of each user and from the absence of data, and it predicts if and when a user will start interacting again with the app.

20th International Conference on Artificial Intelligence in Medicine (AIME 2022), Halifax

The KMD team was present with two scientific contributions:

•  'When can I expect the mHealth user to return? Prediction meets time series with gaps' by Miro Schleicher, Rüdiger Pryss, Winfried Schlee and Myra Spiliopoulou: the new machine learning method analyses the behaviour of users towards an mHealth app, learns from the absence of data and predicts if and when a user will start using the app again.

•  'Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data' by Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, and Myra Spiliopoulou: the new machine learning method analyses the data of an auditory category learning experiment, and it identifies characteristic patterns that distinguish between learners and non-learners.

Myra Spiliopoulou, together with Panos Papapetrou (Univ Stockholm) also presented a tutorial on 'Machine learning for complex medical temporal sequences'. Her part was on 'Dealing with Missingness/Gaps'.

Nehmen Sie an unseren Laborexperimenten teil! Participate in our Lab experiments!

Wir führen am Samstag, 11. Juni ab 18Uhr, Mitmachexperiment im Labor 021 durch.

Mehr Informationen:

https://wissenschaft.magdeburg.de/programm/ovgu/2596-forschung-trifft-crowdsourcing

The dates for the LAST ATTEMPT exams in DM4BA, DM I, DM II, Recommenders, ITO, and WMS are:

July 14, 14:00 and 14:30   
July 18, 13:30 to 16:00

   
NOTE: Last attempt exams are offered exclusively for degrees that prescribe a last attempt, and state that this attempt must be an oral exam.

The next slots for last attempt exams will be offered after the teaching period of summer term 2022.
Important announcement regarding registration process:

In order to stay more compliant to the social distancing guidelines, the registration for the exam will be conducted slightly differently.

    Download, print, and fill out the examination registration form from the examination office. Fill all fields except the date and time.
    Submit the document to Mr. Knopke electronically Deadline 29.06.2022.
    The next available time slot will be assigned to you, and Mr. Knopke forwards the updated form to the examination office. You will be informed about the date and time for your exam.

Anne Rother's paper, "Virtual Reality for Medical Annotation Tasks – A Systematic Review", has been accepted in Frontiers.

https://www.frontiersin.org/articles/10.3389/frvir.2022.717383/full

On 12.04.2022 at 13:00 s.t. in room G10-337.

We will present topics for:

• Scientific Team Projects (Master)
• IT-Softwareprojects (Bachelor)

UPDATE 12 April:

Slides of topics:

• Myra Spiliopoulou (includes administrative information)
• Uli Niemann
• Christian Beyer (password-protected)

Application deadline: 21 April 2022 12:00.