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Thomas Linden
Thomas Linden
Data Scientist
在 scai.fraunhofer.de 的电子邮件经过验证
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引用次数
引用次数
年份
An Explainable Multi-Modal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
T Linden, J De Jong, C Lu, V Kiri, K Haeffs, H Fröhlich
Frontiers in artificial intelligence 4, 58, 2021
152021
A transformer-based model trained on large scale claims data for prediction of severe COVID-19 disease progression
M Lentzen, T Linden, S Veeranki, S Madan, D Kramer, W Leodolter, ...
IEEE Journal of Biomedical and Health Informatics 27 (9), 4548-4558, 2023
122023
Machine learning based prediction of COVID-19 mortality suggests repositioning of anticancer drug for treating severe cases
T Linden, F Hanses, D Domingo-Fernández, LN DeLong, AT Kodamullil, ...
Artificial Intelligence in the Life Sciences 1, 100020, 2021
62021
Predicting comorbidities of epilepsy patients using big data from Electronic Health Records combined with biomedical knowledge
T (Gerlach) Linden, C Lu, H Fröhlich
PeerJ Preprints 5, e3228v1, 2017
22017
Corrigendum to “Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases”[Artificial Intelligence in Life …
T Linden, F Hanses, D Domingo-Fernández, LN DeLong, AT Kodamullil, ...
Artificial Intelligence in the Life Sciences 2, 100032, 2022
2022
Risk-XAI: Explainable AI Models for Predicting Personalized Risk Profiles
MJ Thomas Linden, Aliaksandr Masny, Bruce Schultz, Christian Ebeling, Holger ...
https://explainableai.scai.fraunhofer.de/, 2021
2021
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