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Interpretable machine learning model to predict rupture of small intracranial aneurysms and facilitate clinical decision

Weigen Xiong, Tingting Chen, Jun Li, Lan Xiang, Cheng Zhang, Liang Xiang, Yingbin Li, Dong Chu, Yuezhang Wu, Qiong Jie, Runze Qiu, ZeYue Xu, Jianjun Zou, Hongwei Fan, Zhihong Zhao

2022Neurological Sciences23 citationsDOI

Topics & Concepts

Support vector machineArtificial intelligenceMachine learningRandom forestGradient boostingBoosting (machine learning)Confidence intervalLasso (programming language)NeuroradiologyMedicineComputer scienceNeurologyInternal medicinePsychiatryWorld Wide WebIntracranial Aneurysms: Treatment and ComplicationsCerebrovascular and Carotid Artery DiseasesTraumatic Brain Injury and Neurovascular Disturbances
Interpretable machine learning model to predict rupture of small intracranial aneurysms and facilitate clinical decision | Litcius