News
Tutorial Machine learning for complex medical temporal sequences
In this tutorial, we focus on sequential forms of health-related data – spatial trajectories, panel data from longitudinal studies, time series signals (such as ECGs), event sequences (such as sequences containing EHR events) and mHealth data. We elaborate on the questions that medical researchers and clinicians pose on those data, and on the instruments they use. We elaborate on what questions are asked with those instruments, on what questions can be answered from those data, on ML advances and achievements on such data, and on ways of responding to the medical experts’ questions about the derived models. Furthermore, we emphasize the need for interpretable and explainable models that can inspire trust and facilitate informed decision making. Towards this goal we elaborate on actionable models and counterfactual explanations for sequential medical data, and discuss how to apply them for the interpretation of black-box models, such as deep learning architectures.
Best student research award "Rudolf Kruse Award"
Anne Rother received the "Rudolf Kruse Award" (student research award) 2021. Congratulations!
Anne Rother, Uli Niemann, Tommy Hielscher, Henry Völzke, Till Ittermann, and Myra Spiliopoulou (2021). Assessing the difficulty of annotating medical data in crowdworking with help of experiments. PLOS ONE 16(7): e0254764. https://doi.org/10.1371/journal.pone.0254764
Scientific Team Projects Winter Term 21/22
This semester, the KMD lab is offering topics for teamprojects.
Goal of the teamprojects is to enable students in solving complex real tasks in teamwork. In doing so, they use and occasionally extend methods they already learned in their studies thus far. They are exposed to the data science challenges of business understanding, of data preparation and of communicating the results to an application expert.
The application deadline is Oct. 28, 12:00.
More information and registration on Moodle/E-Learning: https://elearning.ovgu.de/course/view.php?id=11620
Dates for LAST ATTEMPT exams in DM4BA, DM I, DM II, Recommenders, ITO, and WMS
The dates for the LAST ATTEMPT exams in DM4BA, DM I, DM II, Recommenders, ITO, and WMS are:
January 31, 14:00 to 16:00
January 31, 09:30 to 10:30
February 1, 13:00 to 15:00
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 winter term 2021/2022.
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: January, 15.
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.
Journal paper published at Special Issue "Analysis of FAIR Data from Medical Sensors" of the MDPI Journal "sensors" (IF 3.576)
Journal publication in the ImmunLeanrning project: "Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis" by Noor Jamaludeen, Christian Beyer, Ulrike Billing, Katrin Vogel, Monika Brunner-Weinzierl and Myra Spiliopoulou
It is Noor Jamaludeen's first journal publication. Congratulations to all authors.
MORE:
Abstract: https://www.mdpi.com/1424-8220/21/15/4960
PDF Version: https://www.mdpi.com/1424-8220/21/15/4960/pdf
Special Issue: https://www.mdpi.com/journal/sensors/special_issues/FAIR_data
ImmunLearning: https://www.kmd.ovgu.de/Research/Medical+Mining/ImmunLearning.html
Paper accepted in PLOS ONE
Anne Rother's first-author paper, "Assessing the difficulty of annotating medical data in crowdworking with help of experiments", has been accepted in PLOS ONE. It is Anne's first scientific paper, which she wrote while still studying for her bachelor's degree. Congratulations on this great success!
Anne Rother, Uli Niemann, Tommy Hielscher, Henry Völzke, Till Ittermann, and Myra Spiliopoulou (2021). Assessing the difficulty of annotating medical data in crowdworking with help of experiments. PLOS ONE 16(7): e0254764. https://doi.org/10.1371/journal.pone.0254764
Paper accepted at IEEE DSAA 2021
We are happy that Clara Puga's paper "Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus", has been accepted at the IEEE International Conference on Data Science and Advanced Analytics 2021 (DSAA), which takes place in Porto, Portugal, 06-09 October. It is Clara's first scientific paper - Congratulations to her on this big achievement!
Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, and Myra Spiliopoulou: "Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus"
