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 | 15 | 2021 |
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 | 12 | 2023 |
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 | 6 | 2021 |
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 | 2 | 2017 |
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 |