Search Results for author: Manuel Burger

Found 7 papers, 3 papers with code

Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications

no code implementations27 Mar 2024 Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

Electronic Health Record (EHR) datasets from Intensive Care Units (ICU) contain a diverse set of data modalities.

Contrastive Learning Time Series

Dynamic Survival Analysis for Early Event Prediction

no code implementations19 Mar 2024 Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch

This study advances Early Event Prediction (EEP) in healthcare through Dynamic Survival Analysis (DSA), offering a novel approach by integrating risk localization into alarm policies to enhance clinical event metrics.

Management Survival Analysis

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series

no code implementations15 Nov 2023 Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch

Recent findings in deep learning for tabular data are now surpassing these classical methods by better handling the severe heterogeneity of data input features.

Time Series

Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions

no code implementations13 Nov 2023 Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

Intensive Care Units (ICU) require comprehensive patient data integration for enhanced clinical outcome predictions, crucial for assessing patient conditions.

Data Integration Knowledge Graphs +1

Multi-modal Graph Learning over UMLS Knowledge Graphs

1 code implementation10 Jul 2023 Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

The results demonstrate the significance of multi-modal medical concept representations based on prior medical knowledge.

Graph Learning Knowledge Graphs +1

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