Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review
Several high-quality studies were identified. Yet, the application of machine learning with genomic data in the context of schizophrenia remains limited. Future research is essential to further evaluate the portability of these models and to explore their potential clinical applications.
Authors
- Mélissa Beaudoin (ORCID: https://orcid.org/0000-0002-0169-8055)
- Kingsada Phraxayavong (ORCID: https://orcid.org/0000-0003-3113-9104)
- Alexandre Dumais (ORCID: https://orcid.org/0000-0002-4480-0064)
- Stéphane Potvin (ORCID: https://orcid.org/0000-0003-1624-378X)
- Alexandre Hudon (ORCID: https://orcid.org/0000-0002-4868-0928)
Institutions
- Institut national de psychiatrie légale Philippe-Pinel (CA)
- Institut Universitaire en Santé Mentale de Québec (CA)
- Institut universitaire en santé mentale de Montréal (CA)
- McGill University (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- JMIR Bioinformatics and Biotechnology
- Published
- 2024-10-16
- DOI
- https://doi.org/10.2196/62752
- Citations
- 2
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.69