We offer two approaches for dealing with these issues: trial enrichment, in which MKL-derived predictions are used to screen out subjects unlikely to benefit ...
We offer two approaches for dealing with these issues: trial enrichment, in which. MKL-derived predictions are used to screen out subjects unlikely to ben- efit ...
Preliminary evidence is provided that MKL-derived predictions are used to screen out subjects unlikely to benefit from a treatment and custom outcome ...
MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials. https://doi.org/10.1007/978-3-642-34713-9_16 · Full text.
Hinrichs C. et al. MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials // Lecture Notes in Computer Science. 2012. pp. 124-131 ...
MKL-based sample enrichment and customized outcomes enable smaller AD clinical trials. Machine Learning and Interpretation in Neuroimaging. 2012:124–131 ...
MKL-based sample enrichment and customized outcomes enable smaller AD clinical trials. C Hinrichs, NM Dowling, SC Johnson, V Singh. Machine Learning and ...
MKL-based sample enrichment and customized outcomes enable smaller AD clinical trials. Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI) ...
We offer two approaches for dealing with these issues: trial enrichment, in which MKL-derived predictions are used to screen out subjects unlikely to benefit ...
People also ask
What is clinical trial enrichment?
What are the different types of outcomes in clinical trials?
What are the types of objectives in clinical trials?
MKL-based sample enrichment and customized outcomes enable smaller AD clinical trials. C Hinrichs, NM Dowling, SC Johnson, V Singh. Machine Learning and ...