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Updated: May 22, 2025

mirMachine: A One-Stop Shop for Plant miRNA Annotation
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miRNA-Based Diagnosis of Schizophrenia Using Machine Learning.

Vishrut Heda1, Saanvi Dogra2, Valentina L Kouznetsova3,4

  • 1Scholars Program, CureScience Institute, San Diego, CA 92121, USA.

International Journal of Molecular Sciences
|March 13, 2025
PubMed
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Machine learning models using dysregulated microRNAs (miRNAs) show promise for diagnosing schizophrenia. A sequential neural network achieved 94.32% accuracy, offering a potential biomarker for psychiatric diagnosis.

Area of Science:

  • Neuroscience
  • Bioinformatics
  • Computational Biology

Background:

  • Current schizophrenia diagnostic methods lack reliability due to the absence of a stable biomarker.
  • Machine learning (ML) presents a promising avenue for improving the diagnosis of schizophrenia and other neurological disorders.

Purpose of the Study:

  • To investigate the utility of dysregulated microRNAs (miRNAs) as potential biomarkers for schizophrenia diagnosis using machine learning.
  • To develop and evaluate ML models for identifying schizophrenia based on miRNA expression profiles.

Main Methods:

  • Dysregulated miRNAs were extracted from public databases and curated from literature.
  • Datasets including selected miRNAs, gene targets, and pathways were used as features for ML models.
  • Models were trained and classified using WEKA and TensorFlow, with various classifiers evaluated.
Keywords:
diagnosticsmachine learningmiRNAschizophrenia

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Main Results:

  • The developed Sequential Neural Network (SNN) model achieved the highest accuracy (94.32%) in classifying schizophrenia.
  • Naïve Bayes classifier showed the second-best performance with 72.23% accuracy.
  • Validation testing confirmed the SNN's robustness, achieving 88.88% accuracy, while Naïve Bayes achieved 72.22%.

Conclusions:

  • Dysregulated miRNAs, when analyzed with machine learning, demonstrate practical utility as a diagnostic aid for schizophrenia.
  • This approach holds potential for assisting physicians in diagnosing schizophrenia and possibly other neurological conditions.