Author

Dominik Heider

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Open access Oct 2026

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder.

Importance Early identification of patients at high risk of relapse is key to personalized preventive strategies in major depressive disorder (MDD). However, current predictive models do not adequately account for the multimodal factors contributing to MDD relapse and fail to provide clinically meaningful predictions....

L. Teutenberg, N. Winter, P. Usemann et al. · JAMA psychiatry · 0 citations

Review Open access Sep 2026

Navigating Technical Challenges in FHIR-Based Patient Reported Outcome Measures: Towards Interoperability with the MII PRO Core Dataset.

A HL7 Fast Healthcare Interoperability Resources (FHIR) system for Mobile Patient Survey (MoPat), which supports multiple versions and is designed to integrate PROMs into various FHIR-based infrastructures, validates the potential of electronic PROM tools to adopt standards like the MII core dataset.

Yannik Warnecke, Dominik Heider, M. Storck · Studies in Health Technology... · 0 citations