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2 Result(s)
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Article
Open AccessPrognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework
The present study combined a supervised machine learning framework with an unsupervised method, finite mixture modeling, to identify prognostically meaningful subgroups of diverse chronic pain patients undergo...
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Article
Open AccessPredicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance
Sepsis is a time dependent condition. Screening tools based on clinical parameters have been shown to increase the identification of sepsis. The aim of current study was to evaluate the additional predictive v...
