Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients
CONCLUSIONS: We developed and validated a novel method to predict the risk factors of HF and all-cause mortality that integrates readily available clinical, laboratory, and electrocardiographic variables to predict the risk of HF among PD patients.PMID:38494197 | PMC:PMC10946267 | DOI:10.1080/0886022X.2024.2324071
Source: Renal Failure - Category: Urology & Nephrology Authors: Liping Xu Fang Cao Lian Wang Weihua Liu Meizhu Gao Li Zhang Fuyuan Hong Miao Lin Source Type: research
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