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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01927-6
Abstract: This paper analyzes the variable selection problem in the context of Linear Regression for large databases. The problem consists of selecting a small subset of independent variables that can perform the prediction task optimally. This…
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Keywords:
regression large;
large databases;
variable selection;
linear regression ... See more keywords
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Published in 2017 at "Advances in Chronic Kidney Disease"
DOI: 10.1053/j.ackd.2017.05.001
Abstract: Large observational databases linking kidney function and other routine patient health data are increasingly being used to study acute kidney injury (AKI). Routine health care data show an apparent rise in the incidence of population…
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Keywords:
large databases;
aki utilizing;
epidemiology aki;
aki ... See more keywords
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Published in 2019 at "Translational lung cancer research"
DOI: 10.21037/tlcr.2019.05.06
Abstract: There has been a substantial rise in the utilization of large databases in radiation oncology research. The advantages of these datasets include a large sample size and inclusion of a diverse population of patients in…
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Keywords:
large databases;
research;
lung cancer;
oncology ... See more keywords
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Published in 2020 at "Orthopedics"
DOI: 10.3928/01477447-20200107-05
Abstract: Large databases are commonly used to analyze surgical outcomes. Recent studies have suggested that there are differences in complication rates between databases across certain procedures, but the reasons for these differences are not fully understood.…
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Keywords:
large databases;
reported complication;
shoulder arthroplasty;
complication rates ... See more keywords