Carsten Eickhoff

Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass

Big Data and discrimination: perils, promises and solutions. A systematic review

Legal and human rights issues of AI: Gaps, challenges and vulnerabilities

Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

AI in health and medicine

Database resources of the National Center for Biotechnology Information: update

Multimodal biomedical AI

Early prediction of circulatory failure in the intensive care unit using machine learning

MIMIC-IV, a freely accessible electronic health record dataset

Best Match: New relevance search for PubMed

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Sentiment Analysis of the News Media on Artificial Intelligence Does Not Support Claims of Negative Bias Against Artificial Intelligence

Exploring Discrimination: A User-centric Evaluation of Discrimination-Aware Data Mining

Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence

COVID-19 Digital Health Innovation Policy: A Portal to Alternative Futures in the Making

European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

ETH Zurich at TREC Clinical Decision Support 2016.

Machine learning for real-time prediction of complications in critical care: a retrospective study

Increasing cheat robustness of crowdsourcing tasks