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  3. Hybrid Machine Learning Pipeline for Multi-Timeframe Mortality Prediction in Cardiogenic Shock: Integrating Clustering Techniques and Comprehensive External Validation

Hybrid Machine Learning Pipeline for Multi-Timeframe Mortality Prediction in Cardiogenic Shock: Integrating Clustering Techniques and Comprehensive External Validation

Seminar: Data Science and AI at the Medical Faculty
LMU Klinikum

Dear colleagues,

We are glad to announce the next online iteration of our seminar Data Science and Artificial Intelligence at the Medical Faculty, with the speaker organized by Prof. Solveig Vieluf.

The next seminar will take place on Friday December 13th at 10:00 on zoom. In the next meeting we will have the pleasure of welcoming Mohamed Medhat Mohamed Ali, a medical student working at the Department of Medicine I at LMU University Hospital under the supervision of PD Dr. med Clemens Scherer. We will hear about "Hybrid Machine Learning Pipeline for Multi-Timeframe Mortality Prediction in Cardiogenic Shock: Integrating Clustering Techniques and Comprehensive External Validation". We hope to see you there!

Best regards

Guillaume, Solveig, Michael and Kristian


Join Zoom Meeting: https://lmu-munich.zoom-x.de/j/67870110894?pwd=UcDyXeYLuPwXkqHyfUjfZfNrvasAPa.1

Meeting ID: 678 7011 0894   //    Passcode: 670490

LMU Klinikum
81377 München

Keywords: Artificial Intelligence

Datum

13.12.2024

Uhrzeit

10:00 - 11:30

Ort

online

Veranstalter

LMU Klinikum

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Munich Cancer Talks on behalf of

DKTK / Deutsches Konsortium für Translationale Krebsforschung Partnerstandort München

CCC München / Comprehensive Cancer Center München

BZKF / Bayerisches Zentrum für Krebsforschung Standort München

TUM Klinikum / Klinikum Rechts der Isar Technische Universität München

TUM / Technische Universität München

LMU Klinikum

LMU / Ludwig-Maximilians-Universität München

 

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