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Melanie F Pradier

Showing results (1-10 of 9) with videos related to

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Plos One|January 29, 2016
Prior Design for Dependent Dirichlet Processes: An Application to Marathon ModelingMelanie F Pradier, Francisco J R Ruiz, Fernando Perez-Cruz
Plos One|August 8, 2018
Economic complexity unfolded: Interpretable model for the productive structure of economiesZoran Utkovski, Melanie F Pradier, Viktor Stojkoski, et al.
Journal of Affective Disorders|April 26, 2022
Do clinicians follow heuristics in prescribing antidepressants?Isaac Lage, Melanie F Pradier, Thomas H McCoy, et al.
Translational Psychiatry|February 19, 2020
Predicting treatment dropout after antidepressant initiationMelanie F Pradier, Thomas H McCoy, Michael Hughes, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2021
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise As Much As PossibleMelanie F Pradier, Javier Zazo, Sonali Parbhoo, et al.
BMC Cancer|March 30, 2019
Case-control Indian buffet process identifies biomarkers of response to CodrituzumabMelanie F Pradier, Bernhard Reis, Lori Jukofsky, et al.
Translational Psychiatry|February 5, 2021
How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selectionMaia Jacobs, Melanie F Pradier, Thomas H McCoy, et al.
JAMA Network Open|May 21, 2020
Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic ModelsMichael C Hughes, Melanie F Pradier, Andrew Slavin Ross, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|September 14, 2020
Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiationMelanie F Pradier, Michael C Hughes, Thomas H McCoy, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Plos One|January 29, 2016
Prior Design for Dependent Dirichlet Processes: An Application to Marathon ModelingMelanie F Pradier, Francisco J R Ruiz, Fernando Perez-Cruz
Plos One|August 8, 2018
Economic complexity unfolded: Interpretable model for the productive structure of economiesZoran Utkovski, Melanie F Pradier, Viktor Stojkoski, et al.
Journal of Affective Disorders|April 26, 2022
Do clinicians follow heuristics in prescribing antidepressants?Isaac Lage, Melanie F Pradier, Thomas H McCoy, et al.
Translational Psychiatry|February 19, 2020
Predicting treatment dropout after antidepressant initiationMelanie F Pradier, Thomas H McCoy, Michael Hughes, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|August 30, 2021
Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise As Much As PossibleMelanie F Pradier, Javier Zazo, Sonali Parbhoo, et al.
BMC Cancer|March 30, 2019
Case-control Indian buffet process identifies biomarkers of response to CodrituzumabMelanie F Pradier, Bernhard Reis, Lori Jukofsky, et al.
Translational Psychiatry|February 5, 2021
How machine-learning recommendations influence clinician treatment selections: the example of the antidepressant selectionMaia Jacobs, Melanie F Pradier, Thomas H McCoy, et al.
JAMA Network Open|May 21, 2020
Assessment of a Prediction Model for Antidepressant Treatment Stability Using Supervised Topic ModelsMichael C Hughes, Melanie F Pradier, Andrew Slavin Ross, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|September 14, 2020
Predicting change in diagnosis from major depression to bipolar disorder after antidepressant initiationMelanie F Pradier, Michael C Hughes, Thomas H McCoy, et al.
Pageof 1