Machine Learning-Based Prediction of Pulmonary Embolism Prognosis Using Nutritional and Inflammatory Indices.

Journal: Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
Published Date: Jan 1, 2024

Abstract

PURPOSE: This study aimed to create and assess machine learning (ML) models that utilize nutritional and inflammatory indices, focusing on the advanced lung cancer inflammation index (ALI) and neutrophil-to-albumin ratio (NAR), to improve the prediction accuracy of PE prognosis.

Authors

  • Zengzhi Lian
    Department of Pulmonary and Critical Care Medicine, Taicang Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Xue-Ni Wei
    Department of Pharmacy, Taicang Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
  • Dayang Chai
    Department of Cardiovascular Medicine, Taicang Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.

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