David P. Noren
Philips (United States)(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, Bioinformatics and Genomic Networks, Hemodynamic Monitoring and Therapy, Renal function and acid-base balance, Computational Drug Discovery Methods
Most-Cited Works
- → Inferring causal molecular networks: empirical assessment through a community-based effort(2016)244 cited
- → Endothelial cells decode VEGF-mediated Ca 2+ signaling patterns to produce distinct functional responses(2016)100 cited
- → Analysis of pairwise cell interactions using an integrated dielectrophoretic‐microfluidic system(2008)45 cited
- → A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis(2016)35 cited
- → Risk of over-diagnosis of hypotension in children: a comparative analysis of over 50,000 blood pressure measurements(2017)15 cited
- → Evolution‐informed modeling improves outcome prediction for cancers(2016)14 cited
- → Machine learning-based clinical decision support for infection risk prediction(2023)14 cited
- → Erratum to: Risk of over-diagnosis of hypotension in children: a comparative analysis of over 50,000 blood pressure measurements(2017)10 cited
- → Age-associated blood pressure distributions in paediatric intensive care units differ from healthy children(2017)8 cited