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{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4718081","sourcedb":"PMC","sourceid":"4718081","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4718081","text":"Model performance\nFigure 4 indicates that mini network disorder probability has good linear relationship with MMSE suggesting that mini network disorder may be a good proxy for disease progression. Figure 5 shows that our model may improve the classification accuracy and specificity of AD vs. normal and MCI vs. normal. Our model may enhance the classification sensitivity of MCI vs. normal.\nFigure 4 The relationship and correlation analysis between estimated mini network disruption probability and MMSE. As plot AD, MCI, and normal shown, mini network disruption probability coincides with 1/MMSE. In plot regression, least squares regression is used to analyze the correlation between mini network disruption probability and MMSE.\nFigure 5 Model performance in classification of AD vs. normal and MCI vs. normal.","divisions":[{"label":"title","span":{"begin":0,"end":17}},{"label":"p","span":{"begin":18,"end":392}},{"label":"figure","span":{"begin":393,"end":736}},{"label":"label","span":{"begin":393,"end":401}},{"label":"caption","span":{"begin":403,"end":736}},{"label":"p","span":{"begin":403,"end":736}},{"label":"label","span":{"begin":737,"end":745}}],"tracks":[]}