Patients selected using ITE model–based thresholds consistently showed a trend toward greater observed treatment effect compared with those selected by rule‐based criteria.
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Optimizing Extracorporeal Cardiopulmonary Resuscitation Candidate Selection in out-of-Hospital Cardiac Arrest: A Machine-Learning Individualized Treatment Effect Approach Versus Rule-Based Criteria.
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