Zobrazeno 1 - 10
of 766
pro vyhledávání: '"Trafton, P."'
Autor:
Deas, Andrew, Fernando, Hashan, Hanson, Heidi A., Kapadia, Anuj J, Trafton, Jodie, Spannaus, Adam, Maroulas, Vasileios
The opioid crisis remains one of the most daunting and complex public health problems in the United States. This study investigates the national epidemic by analyzing vulnerability profiles of three key factors: opioid-related mortality rates, opioid
Externí odkaz:
http://arxiv.org/abs/2407.07008
Autor:
Mahbub, Maria, Dams, Gregory M., Srinivasan, Sudarshan, Rizy, Caitlin, Danciu, Ioana, Trafton, Jodie, Knight, Kathryn
Substance use disorder (SUD) poses a major concern due to its detrimental effects on health and society. SUD identification and treatment depend on a variety of factors such as severity, co-determinants (e.g., withdrawal symptoms), and social determi
Externí odkaz:
http://arxiv.org/abs/2403.12297
Autor:
Mahbub, Maria, Goethert, Ian, Danciu, Ioana, Knight, Kathryn, Srinivasan, Sudarshan, Tamang, Suzanne, Rozenberg-Ben-Dror, Karine, Solares, Hugo, Martins, Susana, Trafton, Jodie, Begoli, Edmon, Peterson, Gregory
Background: Injection drug use (IDU) is a dangerous health behavior that increases mortality and morbidity. Identifying IDU early and initiating harm reduction interventions can benefit individuals at risk. However, extracting IDU behaviors from pati
Externí odkaz:
http://arxiv.org/abs/2305.08777
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-11 (2024)
Abstract Irrelevant salient distractors can trigger early quitting in visual search, causing observers to miss targets they might otherwise find. Here, we asked whether task-relevant salient cues can produce a similar early quitting effect on the sub
Externí odkaz:
https://doaj.org/article/d77e2c2c11f3474cbb4680c842974118
Autor:
Keyu Li, Junke Wang, Rui Zhang, Jiawei Zhou, Birginia Espinoza, Nan Niu, Jianxin Wang, Noelle Jurcak, Noah Rozich, Arsen Osipov, MacKenzie Henderson, Vanessa Funes, Melissa Lyman, Alex B. Blair, Brian Herbst, Mengni He, Jialong Yuan, Diego Trafton, Chunhui Yuan, Michael Wichroski, Xubao Liu, Juan Fu, Lei Zheng
Publikováno v:
Journal of Hematology & Oncology, Vol 17, Iss 1, Pp 1-6 (2024)
Abstract Due to the challenge for intratumoral administration, innate agonists have not made it beyond preclinical studies for efficacy testing in most tumor types. Pancreatic ductal adenocarcinoma (PDAC) has a hostile tumor microenvironment that ren
Externí odkaz:
https://doaj.org/article/bfd08d1266be4922922c25e98fb0b353
Autor:
Maria Mahbub, Ian Goethert, Ioana Danciu, Kathryn Knight, Sudarshan Srinivasan, Suzanne Tamang, Karine Rozenberg-Ben-Dror, Hugo Solares, Susana Martins, Jodie Trafton, Edmon Begoli, Gregory D. Peterson
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract Background Injection drug use (IDU) can increase mortality and morbidity. Therefore, identifying IDU early and initiating harm reduction interventions can benefit individuals at risk. However, extracting IDU behaviors from patients’ electr
Externí odkaz:
https://doaj.org/article/56582f0af7954ae496289ac399f8ce2b
Surface-bound exospheres facilitate volatile migration across the surfaces of nearly airless bodies. However, such transport requires that the body can both form and retain an exosphere. To form a sublimation exosphere requires the surface of a body
Externí odkaz:
http://arxiv.org/abs/2205.12805
Autor:
Everett Rush, Ozgur Ozmen, Minsu Kim, Erin Rush Ortegon, Makoto Jones, Byung H. Park, Steven Pizer, Jodie Trafton, Lisa A. Brenner, Merry Ward, Jonathan R. Nebeker
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background To discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference framework applied to real-world data. Methods We apply machine learning steps in our framework
Externí odkaz:
https://doaj.org/article/1f66a97ac8ee4a47b13c4f8bfb608f21
Autor:
Sayera Dhaubhadel, Kumkum Ganguly, Ruy M. Ribeiro, Judith D. Cohn, James M. Hyman, Nicolas W. Hengartner, Beauty Kolade, Anna Singley, Tanmoy Bhattacharya, Patrick Finley, Drew Levin, Haedi Thelen, Kelly Cho, Lauren Costa, Yuk-Lam Ho, Amy C. Justice, John Pestian, Daniel Santel, Rafael Zamora-Resendiz, Silvia Crivelli, Suzanne Tamang, Susana Martins, Jodie Trafton, David W. Oslin, Jean C. Beckham, Nathan A. Kimbrel, Million Veteran Program Suicide Exemplar Work Group, Benjamin H. McMahon
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract We present an ensemble transfer learning method to predict suicide from Veterans Affairs (VA) electronic medical records (EMR). A diverse set of base models was trained to predict a binary outcome constructed from reported suicide, suicide a
Externí odkaz:
https://doaj.org/article/f6fe8596f4ab4a77a81d71a70bf80892
The interpretability of medical image analysis models is considered a key research field. We use a dataset of eye-tracking data from five radiologists to compare the outputs of interpretability methods and the heatmaps representing where radiologists
Externí odkaz:
http://arxiv.org/abs/2112.11716