A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke

<div>RF model construction. (a) The residual spread of the RF and SVM models was illustrated by employing boxplots of residuals. (b) ROC curves demonstrated the precision of the RF and SVM models. (c) RF model’s quality of ischemic stroke forecast was estimated by Ten-fold cross-validation curve. (d) The importance of the 15 ICD regulators on account of RF model.</div>

International Journal of Clinical Practice

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Figure 3: A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke 

Figure 3 | A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke 