Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Melanie F, Pradier"'
Autor:
Maia Jacobs, Melanie F. Pradier, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos
Publikováno v:
Translational Psychiatry, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Decision support systems embodying machine learning models offer the promise of an improved standard of care for major depressive disorder, but little is known about how clinicians’ treatment decisions will be influenced by machine learnin
Externí odkaz:
https://doaj.org/article/9aeca3ddaa45437cb954258381e69b7f
Autor:
Melanie F. Pradier, Bernhard Reis, Lori Jukofsky, Francesca Milletti, Toshihiko Ohtomo, Fernando Perez-Cruz, Oscar Puig
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background Codrituzumab, a humanized monoclonal antibody against Glypican-3 (GPC3), which is expressed in hepatocellular carcinoma (HCC), was tested in a randomized phase II trial in advanced HCC patients who had failed prior systemic therap
Externí odkaz:
https://doaj.org/article/c84e3057b2a241b69d2832c6f9702481
Publikováno v:
Journal of Affective Disorders. 311:110-114
While clinicians commonly learn heuristics to guide antidepressant treatment selection, surveys suggest real-world prescribing practices vary widely. We aimed to determine the extent to which antidepressant prescriptions were consistent with commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed547016ca2ec8b72aa02a8660f29417
https://doi.org/10.1016/j.jad.2022.04.128
https://doi.org/10.1016/j.jad.2022.04.128
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0200822 (2018)
Economic complexity reflects the amount of knowledge that is embedded in the productive structure of an economy. It resides on the premise of hidden capabilities-fundamental endowments underlying the productive structure. In general, measuring the ca
Externí odkaz:
https://doaj.org/article/a51b9188ce9644409249aa00e8fc809b
Autor:
Melanie F. Pradier, Roy H. Perlis, Finale Doshi-Velez, Krzysztof Z. Gajos, Thomas H. McCoy, Maia Jacobs
Publikováno v:
Translational Psychiatry, Vol 11, Iss 1, Pp 1-9 (2021)
Translational Psychiatry
Translational Psychiatry
Decision support systems embodying machine learning models offer the promise of an improved standard of care for major depressive disorder, but little is known about how clinicians’ treatment decisions will be influenced by machine learning recomme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71d305c2c0dba6ff986a6bd8cab614eb
https://doaj.org/article/9aeca3ddaa45437cb954258381e69b7f
https://doaj.org/article/9aeca3ddaa45437cb954258381e69b7f
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0147402 (2016)
This paper presents a novel application of Bayesian nonparametrics (BNP) for marathon data modeling. We make use of two well-known BNP priors, the single-p dependent Dirichlet process and the hierarchical Dirichlet process, in order to address two di
Externí odkaz:
https://doaj.org/article/db2daf090a874737a46a4ad1d1e01d28
Autor:
Maia Jacobs, Krzysztof Z. Gajos, Thomas H. McCoy, Melanie F. Pradier, Andrew C. Ahn, Finale Doshi-Velez, Barbara Lam, Roy H. Perlis, Jeffrey He
Publikováno v:
CHI
Major depressive disorder is a debilitating disease affecting 264 million people worldwide. While many antidepressant medications are available, few clinical guidelines support choosing among them. Decision support tools (DSTs) embodying machine lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4eb3b6f311c3b9a55cebf44a0eb81ba
http://arxiv.org/abs/2102.00593
http://arxiv.org/abs/2102.00593
Publikováno v:
Entropy, Vol 18, Iss 12, p 449 (2016)
We consider the compression of a continuous real-valued source X using scalar quantizers and average squared error distortion D. Using lossless compression of the quantizer’s output, Gish and Pierce showed that uniform quantizing yields the smalles
Externí odkaz:
https://doaj.org/article/a2dfaff0f775478e88ea6b5de32493f4
Autor:
Thomas H. McCoy, Michael C. Hughes, Roy H. Perlis, Andrew S. Ross, Finale Doshi-Velez, Melanie F. Pradier
ImportanceIn the absence of readily-assessed and clinically-validated predictors of treatment response, pharmacologic management of major depressive disorder (MDD) often relies on trial and error.ObjectiveTo utilize electronic health records to ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83e5915c0fb20860bd4f7db3467db06e
https://doi.org/10.1101/2020.03.18.20038232
https://doi.org/10.1101/2020.03.18.20038232
Autor:
Finale Doshi-Velez, Michael C. Hughes, Sergio Barroilhet, Melanie F. Pradier, Thomas H. McCoy, Roy H. Perlis
Publikováno v:
Neuropsychopharmacology
We aimed to develop and validate classification models able to identify individuals at high risk for transition from a diagnosis of depressive disorder to one of bipolar disorder. This retrospective health records cohort study applied outpatient clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4b9911f72090586a28c2cdf929ad92e
https://pubmed.ncbi.nlm.nih.gov/32927464
https://pubmed.ncbi.nlm.nih.gov/32927464