Zobrazeno 1 - 10
of 24 233
pro vyhledávání: '"van de Wiel, A."'
Autor:
De Proost, Michiel (AUTHOR)
Publikováno v:
IJFAB: International Journal of Feminist Approaches to Bioethics. Fall2022, Vol. 15 Issue 2, p178-182. 5p.
Autor:
Majumdar, Anindita1 (AUTHOR) anindita@la.iith.ac.in
Publikováno v:
New Genetics & Society. Jun2022, Vol. 41 Issue 2, p181-186. 6p.
Autor:
Anindita Majumdar
Publikováno v:
New Genetics and Society, Vol 41, Iss 2, Pp 181-186 (2022)
Externí odkaz:
https://doaj.org/article/2289541f0daf46a099b323921c447147
Cancer prognosis is often based on a set of omics covariates and a set of established clinical covariates such as age and tumor stage. Combining these two sets poses challenges. First, dimension difference: clinical covariates should be favored becau
Externí odkaz:
http://arxiv.org/abs/2411.02396
Machine learning models often face challenges in medical applications due to covariate shifts, where discrepancies between training and target data distributions can decrease predictive accuracy. This paper introduces an adaptation of Classification
Externí odkaz:
http://arxiv.org/abs/2410.20978
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of a unique identifier often poses challenges. Record linkage procedures
Externí odkaz:
http://arxiv.org/abs/2407.06835
The regression discontinuity design (RDD) is a quasi-experimental approach used to estimate the causal effects of an intervention assigned based on a cutoff criterion. RDD exploits the idea that close to the cutoff units below and above are similar;
Externí odkaz:
http://arxiv.org/abs/2406.11585
The high dimensional nature of genomics data complicates feature selection, in particular in low sample size studies - not uncommon in clinical prediction settings. It is widely recognized that complementary data on the features, `co-data', may impro
Externí odkaz:
http://arxiv.org/abs/2405.04917
Autor:
Michiel De Proost
Publikováno v:
IJFAB: International Journal of Feminist Approaches to Bioethics. 15:178-182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcaaaecb150b1226a05dd68d1f40baa2
https://doi.org/10.3138/ijfab-2022-0006
https://doi.org/10.3138/ijfab-2022-0006
Medical prediction applications often need to deal with small sample sizes compared to the number of covariates. Such data pose problems for prediction and variable selection, especially when the covariate-response relationship is complicated. To add
Externí odkaz:
http://arxiv.org/abs/2311.09997