Source Themes

Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility

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Can Machine Learning from Real-World Data Support Drug Treatment Decisions? A Prediction Modeling Case for Direct Oral Anticoagulants

It was possible to calculate individual treatment effects (ITEs) from routine claims data for rivaroxaban and apixaban, and the characteristics between the groups with recommendation for one or the other option differed significantly. ITEs resulted in recommendations that were significantly superior to usual (observed) treatment allocations in terms of absolute risk reduction, both separately for stroke and in the composite endpoint of stroke and major bleeding. When similar patients from routine data were selected (precision cohorts) for patients with a strong recommendation for one option or the other, those similar patients under the respective recommendation showed a significantly better prognosis compared with the alternative option. Many steps may still be needed on the way to clinical practice, but the principle of decision support developed from routine data may point the way toward future decision-making processes.

Teaching reproducible research for medical students and postgraduate pharmaceutical scientists

Differential effects of beta-blocker exposures in predicting specific readmissions for heart failure and myocardial infarction

Supplementary notes: none

The impact of a computerized physician order entry system implementation on 20 different criteria of medication documentation - a before-and-after study

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Renal Safety of Hydroxyethyl starch 130-0.42 After Cardiac Surgery: A Retrospective Cohort Analysis

Estimated Thresholds of Minimum Necessary Adherence for Effective Treatment with Direct Oral Anticoagulants - A Retrospective Cohort Study in Health Insurance Claims Data

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Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity

Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions

Comparison of Five Lists to Identify Potentially Inappropriate Use of Non-Steroidal Anti-Inflammatory Drugs in Older Adults