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

<div>Establishment of the nomogram model. (a) The establishment of the nomogram model on account of the 11 alternative ICD regulators. (b) Calibration curve reveals the predictive capability of the nomogram model. (c) AIS patients may gain advantages from decisions on account of the nomogram. (d) Clinical influence of the nomogram model as estimated by using the clinical impact curve.</div>

International Journal of Clinical Practice

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Figure 4: A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke 

Figure 4 | A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke 