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Biomarker data visualisation for decision making in clinical trials., , , , , and . Int. J. Medical Informatics, (2019)The Tendril Plot - a novel visual summary of the incidence, significance and temporal aspects of adverse events in clinical trials., and . JAMIA, 25 (8): 1069-1073 (2018)Correction to: Efficient feature selection using shrinkage estimators., , , , , and . Mach. Learn., 109 (8): 1565-1567 (2020)Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation., , , and . NeurIPS Datasets and Benchmarks, (2021)Toward an Understanding of Adversarial Examples in Clinical Trials., , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 35-51. Springer, (2018)Efficient feature selection using shrinkage estimators., , , , , and . Mach. Learn., 108 (8-9): 1261-1286 (2019)Taming EHR data: Using Semantic Similarity to reduce Dimensionality., , , , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 52-56. IOS Press, (2013)Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov., , , , , and . BIBM, page 2965-2967. IEEE, (2020)TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials., , , , , , , , and . CoRR, (2021)Weak Classifiers Performance Measure in Handling Noisy Clinical Trial Data., , , and . SCDS, volume 652 of Communications in Computer and Information Science, page 148-157. Springer, (2016)