Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Leo L. Duan"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Understanding human mobility patterns amid natural hazards is crucial for enhancing urban emergency responses and rescue operations. Existing research on human mobility has delineated two primary types of individuals: returners, who exhibit
Externí odkaz:
https://doaj.org/article/f0513034183d4be0aa883412ea45d828
Autor:
Rhonda D. Szczesniak, Teresa Pestian, Leo L. Duan, Dan Li, Sophia Stamper, Brycen Ferrara, Elizabeth Kramer, John P. Clancy, Daniel Grossoehme
Publikováno v:
BMC Pulmonary Medicine, Vol 20, Iss 1, Pp 1-14 (2020)
Abstract Background Beginning at a young age, children with cystic fibrosis (CF) embark on demanding care regimens that pose challenges to parents. We examined the extent to which clinical, demographic and psychosocial features inform patterns of adh
Externí odkaz:
https://doaj.org/article/64285904fcbd4352b0c8c4c4b6c7d316
Autor:
Alexandra Badea, Jacques A. Stout, Robert J. Anderson, Gary P. Cofer, Leo L. Duan, Joshua T. Vogelstein
Publikováno v:
Magnetic Resonance Microscopy. :283-314
Autor:
Leo L, Duan, David B, Dunson
Publikováno v:
Journal of machine learning research : JMLR. 22
Model-based clustering is widely used in a variety of application areas. However, fundamental concerns remain about robustness. In particular, results can be sensitive to the choice of kernel representing the within-cluster data density. Leveraging o
Autor:
Teresa Pestian, Daniel H. Grossoehme, Leo L. Duan, Sophia M. Stamper, Brycen Ferrara, Elizabeth L. Kramer, Dan Li, Rhonda D. Szczesniak, John P. Clancy
Publikováno v:
BMC Pulmonary Medicine
BMC Pulmonary Medicine, Vol 20, Iss 1, Pp 1-14 (2020)
BMC Pulmonary Medicine, Vol 20, Iss 1, Pp 1-14 (2020)
Background Beginning at a young age, children with cystic fibrosis (CF) embark on demanding care regimens that pose challenges to parents. We examined the extent to which clinical, demographic and psychosocial features inform patterns of adherence to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f054519bc3eeee30358d00a1e44aca47
https://doi.org/10.21203/rs.3.rs-15886/v3
https://doi.org/10.21203/rs.3.rs-15886/v3
Autor:
Michal Kouril, Judith W. Dexheimer, Eric S. Kirkendall, C. Monifa Mahdi, Leo L. Duan, Stephen Andrew Spooner, Rhonda D. Szczesniak, Thomas Minich, Philip A. Hagedorn
Publikováno v:
Applied Clinical Informatics. :491-501
SummaryObjective: More than 70% of hospitals in the United States have electronic health records (EHRs). Clinical decision support (CDS) presents clinicians with electronic alerts during the course of patient care; however, alert fatigue can influenc
Autor:
Leo L. Duan
In Bayesian applications, there is a huge interest in rapid and accurate estimation of the posterior distribution, particularly for high dimensional or hierarchical models. In this article, we propose to use optimization to solve for a joint distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1252c46886484b80aca40532f4e26c7
http://arxiv.org/abs/1907.10448
http://arxiv.org/abs/1907.10448
Publikováno v:
Journal of Computational and Graphical Statistics. 25:748-761
We propose a novel “tree-averaging” model that uses the ensemble of classification and regression trees (CART). Each constituent tree is estimated with a subset of similar data. We treat this grouping of subsets as Bayesian ensemble trees (BET) a
Autor:
Rhonda D. Szczesniak, Anjaparavanda P. Naren, Kavitha Kotha, Gary L. McPhail, Leo L. Duan, Matthew Fenchel, John P. Clancy
Publikováno v:
Journal of Cystic Fibrosis. 14(6):733-740
BackgroundLower airway biomarkers of restored cystic fibrosis transmembrane conductance regulator (CFTR) function are limited. We hypothesized that fractional excretion of nitric oxide (FENO), typically low in CF patients, would demonstrate reproduci
Publikováno v:
Biometrika
Prior information often takes the form of parameter constraints. Bayesian methods include such information through prior distributions having constrained support. By using posterior sampling algorithms, one can quantify uncertainty without relying on