15 citations · 25 across the 7 of their papers we have counts for
8 papers
Large Language Models as Unified Multimodal Learners for Clinical Prediction
Ajay Madhavan Ravichandran, Bilgin Osmandoja, Klemens Budde +5
Electronic health records combine free-text clinical narratives with structured measurements such as vital signs, laboratory values, and comorbidities. Yet most clinical prediction…
Integrating Text and Time-Series into (Large) Language Models to Predict Medical Outcomes
Iyadh Ben Cheikh Larbi, Ajay Madhavan Ravichandran, Aljoscha Burchardt +1
Large language models (LLMs) excel at text generation, but their ability to handle clinical classification tasks involving structured data, such as time series, remains underexplor…
One Size Fits None: Rethinking Fairness in Medical AI
Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran +10
Machine learning (ML) models are increasingly used to support clinical decision-making. However, real-world medical datasets are often noisy, incomplete, and imbalanced, leading to…
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Djalel Benbouzid, Christiane Plociennik, Laura Lucaj +6
The growing adoption and deployment of Machine Learning (ML) systems came with its share of ethical incidents and societal concerns. It also unveiled the necessity to properly audi…
Which anonymization technique is best for which NLP task? -- It depends. A Systematic Study on Clinical Text Processing
Iyadh Ben Cheikh Larbi, Aljoscha Burchardt, Roland Roller
Clinical text processing has gained more and more attention in recent years. The access to sensitive patient data, on the other hand, is still a big challenge, as text cannot be sh…
When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
Roland Roller, Klemens Budde, Aljoscha Burchardt +6
Scientific publications about machine learning in healthcare are often about implementing novel methods and boosting the performance - at least from a computer science perspective.…
Fine-grained linguistic evaluation for state-of-the-art Machine Translation
Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel +2
This paper describes a test suite submission providing detailed statistics of linguistic performance for the state-of-the-art German-English systems of the Fifth Conference of Mach…
Fine-grained evaluation of German-English Machine Translation based on a Test Suite
Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt +1
We present an analysis of 16 state-of-the-art MT systems on German-English based on a linguistically-motivated test suite. The test suite has been devised manually by a team of lan…