Cyanotoxin level prediction in a reservoir using gradient boosted regression trees: a case study
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DOI: 10.1007/s11356-018-2219-4
Abstract: Cyanotoxins are a type of cyanobacteria that is poisonous and poses a health threat in waters that could be used for drinking or recreational purposes. Thus, it is necessary to predict their presence to avoid… read more here.
Keywords: using gradient; gradient; boosted regression; prediction ... See more keywords
Identifying Risk Factors for Diabetic Ketoacidosis Associated with SGLT2 Inhibitors: a Nationwide Cohort Study in the USA
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DOI: 10.1007/s11606-020-06561-z
Abstract: Sodium glucose co-transporter-2 inhibitors (SGLT2) are commonly prescribed to patients with type 2 diabetes mellitus, but can increase the risk of diabetic ketoacidosis. Identifying patients prone to diabetic ketoacidosis may help mitigate this risk. We… read more here.
Keywords: risk; use; ketoacidosis; boosted trees ... See more keywords
Gradient-boosted equivalent sources
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DOI: 10.1093/gji/ggab297
Abstract: The equivalent source technique is a powerful and widely used method for processing gravity and magnetic data. Nevertheless, its major drawback is the large computational cost in terms of processing time and computer memory. We… read more here.
Keywords: boosted equivalent; equivalent source; gradient; equivalent sources ... See more keywords
Prediction Model of hospitalization time of COVID-19 patients based on Gradient Boosted Regression Trees
Sign Up to like & getrecommendations! Published in 2023 at "Mathematical Biosciences and Engineering"
DOI: 10.3934/mbe.2023459
Abstract: When an outbreak of COVID-19 occurs, it will cause a shortage of medical resources and the surge of demand for hospital beds. Predicting the length of stay (LOS) of COVID-19 patients is helpful to the… read more here.
Keywords: covid patients; gradient boosted; boosted regression; regression trees ... See more keywords