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Related Experiment Video

Updated: Jul 4, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Challenges in Preprocessing Routine Laboratory Data for Machine Learning

Katharina Wendt1, Michael Marschollek1, Thomas Illig2

  • 1Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, Hannover, Germany.

Studies in Health Technology and Informatics
|July 3, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
NAPKON cohortPost-COVID syndromedata harmonizationdata preprocessinglaboratory datamachine learningmissing values

Related Experiment Videos

Last Updated: Jul 4, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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