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On the estimation of misclassification probabilities of chronic kidney disease using continuous time hidden Markov models

Introduction: The severity of chronic kidney disease (CKD) is reflected in the form of stages of CKD and can be decided on the basis of estimated glomerular filtration rate (eGFR). The computation of eFGR may have computational and measurement errors which may lead to misclassification of stages. Ob...

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Opis bibliograficzny
Główni autorzy:	Gurprit Grover (Autor), Alka Sabharwal (Autor), Shrawan Kumar (Autor), Arpan Kumar Thakur (Autor)
Format:	Książka
Wydane:	Society of Diabetic Nephropathy Prevention, 2019-01-01T00:00:00Z.
Hasła przedmiotowe:	article
Dostęp online:	Connect to this object online.
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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