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Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion

Chongfeng Duan, Fang Liu, Song Gao, Jiping Zhao, Lei Niu, Nan Li, Song Liu, Gang Wang, Xiaoming Zhou, Yande Ren, Wenjian Xu, Xuejun Liu

2021Clinical Neuroradiology19 citationsDOI

Topics & Concepts

Support vector machineRandom forestArtificial intelligenceLasso (programming language)Receiver operating characteristicIntracerebral hemorrhageNaive Bayes classifierFeature selectionArtificial neural networkDecision treeMachine learningPattern recognition (psychology)MathematicsComputer scienceMedicineInternal medicineWorld Wide WebSubarachnoid hemorrhageIntracerebral and Subarachnoid Hemorrhage ResearchRadiomics and Machine Learning in Medical ImagingAcute Ischemic Stroke Management
Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion | Litcius