Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery

Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery

Abstract Background Surgical resection of pheochromocytoma may lead to high risk factors for intraoperative hemodynamic instability (IHD), which can be life-threatening. This study aimed to investigate the risk factors that could predict IHD during pheochromocytoma surgery by data mining. Method Rel...

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Bibliographic Details
Main Authors: Yueyang Zhao, Li Fang, Lei Cui, Song Bai
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Data mining
Pheochromocytoma
Relief-F
Naive Bayes
Decision trees
Random forest
Online Access:http://link.springer.com/article/10.1186/s12911-020-01180-4

Internet

http://link.springer.com/article/10.1186/s12911-020-01180-4

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