Zobrazeno 1 - 10
of 73
pro vyhledávání: '"clinical datasets"'
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Background Reproducibility is a major concern in biomedical studies, and existing publication guidelines do not solve the problem. Batch effects and quality imbalances between groups of biological samples are major factors hampering reproduc
Externí odkaz:
https://doaj.org/article/6b9e7e93a0ba48129d1e4647399be59c
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-17 (2023)
Abstract Background Different machine learning techniques have been proposed to classify a wide range of biological/clinical data. Given the practicability of these approaches accordingly, various software packages have been also designed and develop
Externí odkaz:
https://doaj.org/article/3ebba7f67d214ee1b61c0e59883569ad
Akademický článek
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Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 2, Pp 468-479 (2022)
Visualization of the knowledge extraction process is a front line to reveal the detail process and data structure, which is an advanced technique for the presentation of data modeling. However, the mechanisms for healthcare are challenging and dynami
Externí odkaz:
https://doaj.org/article/7e3cdd52036c453bae9e945bda1cbced
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives To develop a step-by-step process for probabilistic linkage of national clinical and administrative datasets without personal information, providing guidance on selecting variables for linkage, estimating match weights, and choosing the pr
Externí odkaz:
https://doaj.org/article/800ce0cdc5004df0a2b0729f0654d1f3
Autor:
Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò, Barbara Di Camillo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss S5, Pp 1-23 (2020)
Abstract Background Clinical registers constitute an invaluable resource in the medical data-driven decision making context. Accurate machine learning and data mining approaches on these data can lead to faster diagnosis, definition of tailored inter
Externí odkaz:
https://doaj.org/article/f588f332ac234b528a04850cf610962a
Akademický článek
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Akademický článek
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Autor:
Balaur, Irina, Ghosh, Soumyabrata
This is our initial presentation on FAIR assessment in translational medicine projects given within the IMI FAIRplus Fellowship program. Specifically, we discussed our approaches for data FAIRification within the HeartMed ERAPerMed project as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355db8daee8810eff60fc1e90b0c1ee7
Publikováno v:
Journal of Clinical Epidemiology
BACKGROUND: Probabilistic linkage can link patients from different clinical databases without the need for personal information. If accurate linkage can be achieved, it would accelerate the use of linked datasets to address important clinical and pub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1656beababae176b21fe9f258eec9cd6
https://doi.org/10.1016/j.jclinepi.2021.04.015
https://doi.org/10.1016/j.jclinepi.2021.04.015