Population scale latent space cohort matching for the improved use and exploration of observational trial data
A significant amount of clinical research is observational by nature and derived from medical records, clinical trials, and large-scale registries. While there is no substitute for randomized, controlled experimentation, such experiments or trials are often costly, time consuming, and even ethically...
Main Authors: | Rachel Gologorsky, Sulaiman S. Somani, Sean N. Neifert, Aly A. Valliani, Katherine E. Link, Viola J. Chen, Anthony B. Costa, Eric K. Oermann |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-05-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022320?viewType=HTML |
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