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. 2022 Apr 12:13:fpsyt-13-826111.
doi: 10.3389/fpsyt.2022.826111. eCollection 2022.

Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?

Affiliations

Advances in Using MRI to Estimate the Risk of Future Outcomes in Mental Health - Are We Getting There?

Aleix Solanes et al. Front Psychiatry. .
No abstract available

Keywords: machine-learning (ML); magnetic resonance imaging (MRI); neuroimaging; risk estimating; schizophrenia.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Examples of model underfitting, model fitting good, and a model overfitting to the data on classification, regression, and deep learning models. In classification, squares and circles represent two different classes. In Deep Learning, the figures represent the training and validation error over each iteration during the model training process.

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References

    1. Grover S, Sahoo S. Outcome measurement in schizophrenia: challenges and barriers. In: Shrivastava A, De Sousa A. editors. Schizophrenia Treatment Outcomes. (Cham: Springer International Publishing; ) (2020). p. 91–124. 10.1007/978-3-030-19847-3_10 - DOI
    1. Laursen TM, Nordentoft M, Mortensen PB. Excess early mortality in schizophrenia. Ann Rev Clin Psychol. (2014) 10:425–48. 10.1146/ANNUREV-CLINPSY-032813-153657 - DOI - PubMed
    1. Solmi M, Radua J, Olivola M, Croce E, Soardo L, Salazar de Pablo G, et al. Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies. Mol Psychiatry. (2021). 10.1038/s41380-021-01161-7 - DOI - PMC - PubMed
    1. Howes OD, Whitehurst T, Shatalina E, Townsend L, Onwordi EC, Mak TLA, et al. The clinical significance of duration of untreated psychosis: an umbrella review and random-effects meta-analysis. World Psychiatry. (2021) 20:75–95. 10.1002/wps.20822 - DOI - PMC - PubMed
    1. Arnone D, McIntosh AM, Tan GMY, Ebmeier KP. Meta-analysis of magnetic resonance imaging studies of the corpus callosum in schizophrenia. Schizophr Res. (2008) 101:124–32. 10.1016/j.schres.2008.01.005 - DOI - PubMed