Article

A Generalizable Efficient Machine Learning Framework for Schizophrenia Classification Using Multiscale EEG Features and Ensemble Methods

2026-02-06

Abstract excerpt

EEG-based automated classification pipelines for identifying mental disorders increasingly rely on deep learning architectures that are computationally intensive and difficult to interpret, limiting reproducibility and clinical deployment in resource-constrained or cross-site settings. There is a need for algorithmically transparent frameworks that balance accuracy, generalization, and computational efficiency. We...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dd24c124-6810-5566-b7f1-37dc80805015
DOI: 10.20944/preprints202602.0513.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Generalizable Efficient Machine Learning Framework for Schizophrenia Classification Using Multiscale EEG Features and Ensemble MethodsDOI 10.20944/preprints202602.0513.v1Read

A Fused Power Spectrum based Feature Selection to Identify Schizophrenia from EEG Signals using Deep Learning Models - An Experimental StudySemantic proximity Read

Deep Learning Versus Classical Machine Learning for Schizophrenia Detection from EEG: A Cross-Dataset Generalization StudySemantic proximity Read

Application of Multifeature EEG Analysis and Machine Learning in the Investigation of Neurobiological Mechanisms of SchizophreniaSemantic proximity Read

Enhancing Prediction of Individualized Antipsychotic Outcome with fMRI-EEG Feature Integration in First-Episode Schizophrenia: A Real-World StudySemantic proximity Read

Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachSemantic proximity Read

A Novel Deep Learning Approach for Bipolar Disorder Classification via Quantitative EEGSemantic proximity Read

An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisSemantic proximity Read

Deep Learning for Individual-Level Classification of Schizophrenia Versus Healthy Controls from Trial-Level Auditory Oddball ERP WaveformsSemantic proximity Read

The EEG multiverse of schizophreniaSemantic proximity Read

A Scalable Neuroinformatics Pipeline for Harmonizing Routine Clinical EEG Across Public HospitalsSemantic proximity Read

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEGSemantic proximity Read

Generalizability of EEG-Based Dementia Classifiers: A Multicenter study of Alzheimer’s, MCI, And FTDSemantic proximity Read