[HTML][HTML] Semantic harmonization of Alzheimer's disease datasets using AD-Mapper

P Wegner, H Balabin, MC Ay… - Journal of …, 2023 - content.iospress.com
Background: Despite numerous past endeavors for the semantic harmonization of
Alzheimer's disease (AD) cohort studies, an automatic tool has yet to be developed …

[HTML][HTML] Generation of realistic synthetic data using multimodal neural ordinary differential equations

P Wendland, C Birkenbihl, M Gomez-Freixa… - NPJ Digital …, 2022 - nature.com
Individual organizations, such as hospitals, pharmaceutical companies, and health
insurance providers, are currently limited in their ability to collect data that are fully …

[HTML][HTML] psHarmonize: Facilitating reproducible large-scale pre-statistical data harmonization and documentation in R

JJ Stephen, P Carolan, AE Krefman, S Sedaghat… - Patterns, 2024 - cell.com
Combining pertinent data from multiple studies can increase the robustness of
epidemiological investigations. Effective" pre-statistical" data harmonization is paramount to …

Common data model for COVID-19 datasets

P Wegner, GM Jose, V Lage-Rupprecht… - …, 2022 - academic.oup.com
Motivation A global medical crisis like the coronavirus disease 2019 (COVID-19) pandemic
requires interdisciplinary and highly collaborative research from all over the world. One of …

On the Utility of Large Language Model Embeddings for Revolutionizing Semantic Data Harmonization in Alzheimer's and Parkinson's Disease

Y Salimi, T Adams, MC Ay, H Balabin, M Jacobs… - 2024 - researchsquare.com
Data Harmonization is an important yet time-consuming process. With the recent popularity
of applications using Large Language Models (LLMs) due to their high capabilities in text …