Data-driven analysis of influence between radiologists for diagnosis of breast lesions

Breast lesions are the most common threat to the health of women. The accumulation of historical examination reports for diagnosing breast lesions in clinical practice provides the necessary foundations for analyzing the diagnostic preferences of radiologists and the mutual influence between radiolo...

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Vydáno v:	Annals of operations research Ročník 328; číslo 1; s. 419 - 449
Hlavní autoři:	Fu, Chao, Wang, Dongyue, Chang, Wenjun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2023 Springer Nature B.V
Témata:	Algorithms Business and Management Combinatorics Data analysis Diagnostic systems Hospitals Lesions Machine learning Operations research Operations Research/Decision Theory Original Research Qualitative analysis Regression models Statistical analysis Theory of Computation Womens health Machine learning regression algorithm Diagnosis of breast lesion Statistical comparison Influence analysis Organizational development
ISSN:	0254-5330, 1572-9338
On-line přístup:	Získat plný text
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