PREDICTION OF POSTOPERATIVE STROKE IN PATIENTS EXPERIENCED CORONARY ARTERY BYPASS GRAFTING SURGERY: A MACHINE LEARNING APPROACH

Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach

BackgroundCoronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease.However, its postoperative complications can have a significant effect on long-term patient outcomes.A retrospective study was conducted to identify before and after surgery that contribute to postoperative stroke in patie

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Kebijakan Pemeriksaan Keimigrasian di Indonesia: Bentuk Pelayanan Publik dan Profesionalisme Petugas Imigrasi

Penelitian ini menganalisis bentuk pelayanan publik dalam pemeriksaan keimigrasian serta merumuskan karakter, etika, dan kompetensi petugas imigrasi di Tempat Pemeriksaan Imigrasi (TPI) di Indonesia dalam kerangka profesionalisme.Permasalahan yang timbul adalah terdapat perbedaan pemahaman, perspektif, dan paradigma bentuk pelayanan publik dalam pe

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Self-Templating Synthesis of N/P/Fe Co-Doped 3D Porous Carbon for Oxygen Reduction Reaction Electrocatalysts in Alkaline Media

The development of low-cost, highly active, and stable oxygen reduction reaction (ORR) catalysts is of great importance for practical Bed Canopy applications in numerous energy conversion devices.Herein, iron/nitrogen/phosphorus co-doped carbon electrocatalysts (NPFe-C) with multistage porous structure were synthesized by the self-template method u

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