AI-Enabled Diagnosis of Spontaneous Rupture of Ovarian Endometriomas: A PSO Enhanced Random Forest Approach

AI-Enabled Diagnosis of Spontaneous Rupture of Ovarian Endometriomas: A PSO Enhanced Random Forest Approach

Spontaneous rupture of ovarian endometriomas (OEs) may cause serious injury to patients. However, in traditional clinical diagnosis, it is vulnerable to be ignored or misdiagnosed for the symptoms of the acute abdomen caused by it are quite similar to those of some common gynecological emergencies,...

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Bibliographic Details
Main Authors: Mingyan Zhou, Feng Lin, Qian Hu, Zhenzhou Tang, Chu Jin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Ovarian endometrioma
spontaneous rupture
random forest
particle swarm optimization
machine learning
Online Access:https://ieeexplore.ieee.org/document/9138430/

Internet

https://ieeexplore.ieee.org/document/9138430/

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