Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Roselyne Tchoua"'
Autor:
Edward Xu, Joseph Vanghelof, Yiyang Wang, Anisha Patel, Jacob Furst, Daniela Stan Raicu, Johannes Tobias Neumann, Rory Wolfe, Caroline X. Gao, John J. McNeil, Raj C. Shah, Roselyne Tchoua
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background In randomized clinical trials, treatment effects may vary, and this possibility is referred to as heterogeneity of treatment effect (HTE). One way to quantify HTE is to partition participants into subgroups based on individual’s
Externí odkaz:
https://doaj.org/article/2a4253eb6e4649f0b1b823a99dbd696c
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 97-98 (2024)
OBJECTIVES/GOALS: The goal of the study is to provide insights into the use of machine learning methods as a means to predict heterogeneity of treatment effect (HTE) in participants of randomized clinical trials. METHODS/STUDY POPULATION: Using data
Externí odkaz:
https://doaj.org/article/da0a25a5c1954e6990048001d665450d
Publikováno v:
Journal of Clinical and Translational Science, Vol 8 (2024)
Externí odkaz:
https://doaj.org/article/a3838b5febbc47e0932a264ff5e655e2
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 96-96 (2024)
OBJECTIVES/GOALS: Thiswork is an evidential study that demonstrates the positive impactof integrating Community Health Workers (CHWs) and SocialDeterminants of Health on an important health outcome, notably in decreasing the 30-day unplanned hospital
Externí odkaz:
https://doaj.org/article/593a1fb717254cacae27ccc3d272fdf5
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 99-99 (2024)
OBJECTIVES/GOALS: With a growing intеrеst in tailoring disеasе diagnosis to еach individual as opposеd to a “onе-sizе-fits-all” approach, our aim is to еnhancе thе robustnеss of thе Itеrativе Clustеring for Subtypе Discovеry (iK
Externí odkaz:
https://doaj.org/article/c0f0850d37a74b9f8b7c4909f83982dd
Autor:
Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer Antani
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Data integration is a well-motivated problem in the clinical data science domain. Availability of patient data, reference clinical cases, and datasets for research have the potential to advance the healthcare industry. However, the unstructured (text
Externí odkaz:
https://doaj.org/article/b7505530cc804846bec06c67ee9fcb16
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb3c5617c05c7dfb993644e2cc25c40
https://doi.org/10.1117/12.2653633
https://doi.org/10.1117/12.2653633
Publikováno v:
2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27958d61f926a2d27dd79c7552cac83f
https://doi.org/10.1109/ai4s56813.2022.00011
https://doi.org/10.1109/ai4s56813.2022.00011
Publikováno v:
2022 Fourth International Conference on Transdisciplinary AI (TransAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c829b6ad305400e0de79acf31f7c71b5
https://doi.org/10.1109/transai54797.2022.00028
https://doi.org/10.1109/transai54797.2022.00028
Publikováno v:
2022 Fourth International Conference on Transdisciplinary AI (TransAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c48695ee1004bf236abd32d937719632
https://doi.org/10.1109/transai54797.2022.00008
https://doi.org/10.1109/transai54797.2022.00008