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Loop profile: 1096480

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Employment (3)

Fraunhofer-Gesellschaft: Sankt Augustin, DE

2020-01 to present | Data Scientist (AI & Data Science)
Employment
Source: Self-asserted source
Thomas Linden

UCB Pharma GmbH: Monheim, Nordrhein-Westfalen, DE

2016-06 to 2019-12 | Data Scientist (Translational Medicine)
Employment
Source: Self-asserted source
Thomas Linden

ClinStat GmbH: Cologne, DE

2016-01 to 2016-05 | Biostatistician (Biostatistics)
Employment
Source: Self-asserted source
Thomas Linden

Education and qualifications (2)

Hochschule Koblenz - RheinAhrCampus: Remagen, Rheinland-Pfalz, DE

2009 to 2015 | M.Sc. Applied Mathematics (Focus Biomathematics) (Applied Mathematics)
Education
Source: Self-asserted source
Thomas Linden

Boehringer Ingelheim: Ingelheim, DE

1997 to 2001 | Biology Laborant
Education
Source: Self-asserted source
Thomas Linden

Works (5)

A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression

2022-11-30 | Preprint
DOI: 10.1101/2022.11.29.22282632
Contributors: Manuel Lentzen; Thomas Linden; Sai Veeranki; Sumit Madan; Diether Kramer; Werner Leodolter; Holger Fröhlich
Source: check_circle
Crossref

Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases

2021-11-12 | Other
DOI: 10.1101/2021.11.11.21266048
Contributors: Thomas Linden; Frank Hanses; Daniel Domingo-Fernández; Lauren Nicole DeLong; Alpha Tom Kodamullil; Jochen Schneider; Maria J.G.T. Vehreschild; Julia Lanznaster; Maria Madeleine Ruethrich; Stefan Borgmann et al.
Source: check_circle
Crossref

An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data

Frontiers in Artificial Intelligence
2021-05-21 | Journal article
DOI: 10.3389/frai.2021.610197
Part of ISSN: 2624-8212
Source: Self-asserted source
Thomas Linden

Explainable AI Models for Predicting Personalized Risk Profiles

2020 | Software
Part of OTHER-ID: https://explainableai.scai.fraunhofer.de/
Source: Self-asserted source
Thomas Linden

Predicting comorbidities of epilepsy patients using big data from Electronic Health Records combined with biomedical knowledge

German Conference on Bioinformatics 2017
2017-09-19 | Conference paper
OTHER-ID: Proceedings of the GCB German Conference on Bioinformatics 2017
Source: Self-asserted source
Thomas Linden
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