UNITI results 20231201

UNITI results

UNITI project finished in September 2023. It’s overall aim was to deliver a predictive computational model based on existing and longitudinal data attempting to address the question which treatment approach is optimal for a specific patient based on specific parameters. Clinical, epidemiological, medical, genetic and audiological data, including signals reflecting ear-brain communication, were analysed from existing databases. Predictive factors for different patient groups were extracted and their prognostic relevance were tested in a randomized controlled trial (RCT) in which different groups of patients underwent a combination of therapies targeting the auditory and central nervous systems.

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UNITI best paperWe are happy to announce that Miro Schleicher from UNITI team at Otto-von-Guericke-Universität Magdeburg 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).

In this paper 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.

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Key Facts

Data and analysis scripts of the UNITI-RCT results are currently available upon request (stefan.schoisswohl@klinik.uni-regensburg.de).

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