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Causal and Predictive Clinical Decision Support for intensive care medicine - Concept development

We aim to develop an extenstion for LOWTeq?s ICU PDMS for predictive and causal Machine Learning to enable real-time, personalized clinical decision support. The tool will forecast complications and simulate treatment effects, optimizing outcomes and ICU efficiency.

Causal and Predictive Clinical Decision Support for intensive care medicine - Concept development - Grunddaten

Category

Innosuisse

Reference number

129.833 INNO-LS

Project start

22.07.2025

Project end

21.01.2026

Project duration

6 Months

Status

laufend

Area

MED-HSG

We aim to develop an extenstion for LOWTeq?s ICU PDMS for predictive and causal Machine Learning to enable real-time, personalized clinical decision support. The tool will forecast complications and simulate treatment effects, optimizing outcomes and ICU efficiency.

Causal and Predictive Clinical Decision Support for intensive care medicine - Concept development - Grunddaten

Persons

Dr.

Justus Vogel

Project manager
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