Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach
Sancho M, Ellis C, Miller R, Calhoun V. Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40039893, DOI: 10.1109/embc53108.2024.10781959.Peer-Reviewed Original ResearchConceptsDeep learning approachLearning-based studiesMachine learning methodsMachine learning modelsMachine learning-based studiesExplainability approachesCross-validation foldsLearning methodsLearning approachLearning modelsDevelopment of robust approachesMachineDiagnosis of schizophreniaDiverse symptom presentationsPower dataBiomarkers of SZRobust approachFrequency bandLeft hemisphereSpectral power data
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