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Speiser, Jaime

One or more keywords matched the following items that are connected to Speiser, Jaime

Item Type	Name
Concept	Humans
Concept	Contact Lenses, Hydrophilic
Concept	Sodium-Potassium-Exchanging ATPase
Concept	Carbonyl Cyanide m-Chlorophenyl Hydrazone
Academic Article	Random forest classification of etiologies for an orphan disease.
Academic Article	Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning.
Academic Article	The association between FABP7 serum levels with survival and neurological complications in acetaminophen-induced acute liver failure: a nested case-control study.
Academic Article	Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models.
Academic Article	Protective effect of soft contact lenses after Boston keratoprosthesis.
Academic Article	Elevated FABP1 serum levels are associated with poorer survival in acetaminophen-induced acute liver failure.
Academic Article	REPLY.
Academic Article	Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques
Academic Article	BiMM tree: A decision tree method for modeling clustered and longitudinal binary outcomes
Academic Article	The natural history of severe acute liver injury
Academic Article	Food Insecurity Is Associated with an Increased Prevalence of Comorbid Medical Conditions in Obese Adults: NHANES 2007-2014.
Academic Article	Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: A nested cohort study
Academic Article	BiMM forest: A random forest method for modeling clustered and longitudinal binary outcomes
Academic Article	Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.
Academic Article	Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study.

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