Validation of a Machine Learning Expert Supporting System, ImmunoGenius, Using Immunohistochemistry Results of 3000 Patients with Lymphoid Neoplasms

(1) Background: Differential diagnosis using immunohistochemistry (IHC) panels is a crucial step in the pathological diagnosis of hematolymphoid neoplasms. In this study, we evaluated the prediction accuracy of the ImmunoGenius software using nationwide data to validate its clinical utility. (2) Met...

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出版年:	Diagnostics
主要な著者:	Jamshid Abdul-Ghafar, Kyung Jin Seo, Hye-Ra Jung, Gyeongsin Park, Seung-Sook Lee, Yosep Chong
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-03-01
主題:	database expert supporting system machine learning immunohistochemistry probabilistic decision tree
オンライン･アクセス:	https://www.mdpi.com/2075-4418/13/7/1308