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A pilot study for identifying at risk thyroid lesions by means of a decision tree run on clinicocytological variables.

par Nagy, Nathalie ;Decaestecker, Christine ;Kiss, Robert ;Rypens, Françoise ;Van Gansbeke, Daniel ;Mockel, Jean ;Rocmans, Pierre Arthur ;Salmon, Isabelle
Référence International Journal of Molecular Medicine, 4, 3, page (299-308)
Publication Publié, 1999-09

Article révisé par les pairs

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Titre:	A pilot study for identifying at risk thyroid lesions by means of a decision tree run on clinicocytological variables.
Auteur:	Nagy, Nathalie; Decaestecker, Christine; Kiss, Robert; Rypens, Françoise; Van Gansbeke, Daniel; Mockel, Jean; Rocmans, Pierre Arthur; Salmon, Isabelle
Informations sur la publication:	International Journal of Molecular Medicine, 4, 3, page (299-308)
Statut de publication:	Publié, 1999-09
Sujet CREF:	Sciences bio-médicales et agricoles
	Intelligence artificielle
MeSH keywords:	Adolescent
	Adult
	Aged
	Aged, 80 and over
	Algorithms
	Belgium
	Biopsy, Needle
	Decision Trees
	Diagnostic Errors
	Female
	Histocytochemistry
	Humans
	Male
	Middle Aged
	Pilot Projects
	Risk Factors
	Thyroid Diseases -- diagnosis
	Thyroid Diseases -- pathology
	Thyroid Neoplasms -- diagnosis
Note générale:	Journal Article
	Research Support, Non-U.S. Gov't
Langue:	Anglais
Identificateurs:	urn:issn:1107-3756
	info:pmid/10425283