Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma

Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma

ObjectiveIn order to enhance the detection rate of multiple myeloma and execute an early and more precise disease management, an artificial intelligence assistant diagnosis system is developed.Methods4,187 routine blood and biochemical examination records were collected from Shengjing Hospital affil...

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Bibliographic Details
Main Authors: Wei Yan, Hua Shi, Tao He, Jian Chen, Chen Wang, Aijun Liao, Wei Yang, Huihan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
multiple myeloma
artificial intelligence
early diagnosis
gradient boosting decision tree
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.608191/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.608191/full

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