Lisa Pilgram

Berlin, BE, Germany

Last Updated: 09/26/2026

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Found 35 publications

Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study.

Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study.

Journal: Journal of medical Internet research

Published: November 29, 2025

An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study.

An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study.

Journal: Journal of medical Internet research

Published: November 29, 2025

Prognostic and predictive performance of PREDICT 2.1, PREDICT v3, and RSClin in node-negative early breast cancer: a TEAM pathology substudy.

Prognostic and predictive performance of PREDICT 2.1, PREDICT v3, and RSClin in node-negative early breast cancer: a TEAM pathology substudy.

Journal: Breast cancer research and treatment

Published: November 20, 2025

Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models.

Augmenting small tabular health data for training prognostic ensemble machine learning models using generative models.

Journal: BMC medical informatics and decision making

Published: July 04, 2025

Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study.

Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study.

Journal: Journal of medical Internet research

Published: May 21, 2025

Protecting patient privacy in tabular synthetic health data: a regulatory perspective.

Protecting patient privacy in tabular synthetic health data: a regulatory perspective.

Journal: NPJ digital medicine

Published: April 08, 2025

Perspectives of Canadian privacy regulators on anonymization practices and anonymized information: a qualitative study.

Perspectives of Canadian privacy regulators on anonymization practices and anonymized information: a qualitative study.

Journal: International data privacy law

Published: April 07, 2025

Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data.

Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published: March 28, 2025

An assessment of synthetic data generation, use and disclosure under Canadian privacy regulations.

An assessment of synthetic data generation, use and disclosure under Canadian privacy regulations.

Journal: AI and ethics

Published: March 02, 2025

A consensus privacy metrics framework for synthetic data.

A consensus privacy metrics framework for synthetic data.

Journal: Patterns (New York, N.Y.)

Published: December 07, 2024

Genomic Data and Privacy.

Genomic Data and Privacy.

Journal: Clinical chemistry

Published: August 02, 2024

Role and benefits of infectious diseases specialists in the COVID-19 pandemic: Multilevel analysis of care provision in German hospitals using data from the Lean European Open Survey on SARS-CoV-2 infected patients (LEOSS) cohort.

Role and benefits of infectious diseases specialists in the COVID-19 pandemic: Multilevel analysis of care provision in German hospitals using data from the Lean European Open Survey on SARS-CoV-2 infected patients (LEOSS) cohort.

Journal: Infection

Published: January 09, 2024

Showing 1-12 of 35

Last Updated: 09/26/2026