Litcius/Paper detail

Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection

Hai He, Haibo Yang, Francesco Mercaldo, Antonella Santone, Pan Huang

2024Computer Methods and Programs in Biomedicine29 citationsDOI

Topics & Concepts

Computer scienceVotingSample (material)Sensor fusionIsolation (microbiology)Stroke (engine)Data miningArtificial intelligenceMachine learningStatisticsEngineeringMathematicsMicrobiologyBiologyPolitical scienceMechanical engineeringPoliticsChromatographyChemistryLawArtificial Intelligence in HealthcareAcute Ischemic Stroke ManagementBrain Tumor Detection and Classification
Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection | Litcius