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Explainable machine learning-based mortality prediction in critically Ill patients with rheumatoid

Yubing He1, Rui Liang1, Yawen Zhang1

  • 1Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637001, China.

BMC Medical Imaging
|April 22, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Machine learningMortality predictionPrognostic modelRadiomicsRheumatoid arthritis

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AssessmentA comprehensive assessment is essential in managing a patient with rheumatic heart disease (RHD). Begin with obtaining a detailed medical history, including recent streptococcal infections, a history of rheumatic fever, or previously diagnosed rheumatic heart disease. Assess the patient for symptoms such as fever, chest pain, widespread joint pain (arthralgia), tachycardia, pericardial friction rub, muffled heart sounds, heart murmurs, peripheral edema, subcutaneous nodules, and...
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