“PD-PREDICT”: A Machine Learning Model for Patient Survival in Peritoneal Dialysis
Hatem Kaies Ibrahim Elsayed Ali(University Hospitals Coventry and Warwickshire NHS Trust), Rizwan Hamer(University Hospitals Coventry and Warwickshire NHS Trust), Helga Gudmundsdottir(Oslo University Hospital), Tibor Fülöp(Medical University of South Carolina), Jernej Pajek(Ljubljana University Medical Centre), Anna Casula(Ninewells Hospital), Anders Åsberg(Oslo University Hospital), Bård Waldum-Grevbo(Oslo University Hospital), Jyoti Baharani(University Hospitals Birmingham NHS Foundation Trust)
Cited by 0
Related Papers
The European Renal Association – European Dialysis and Transplant Association (ERA-EDTA) Registry Annual Report 2015: a summary
|Clinical Kidney Journal|2017|212
A Critical Review of Medication Adherence in Hypertension: Barriers and Facilitators Clinicians Should Consider
|Patient Preference and Adherence|2022|156
Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study
|Molecular Psychiatry|2014|129
Defining Incident Chronic Kidney Disease in the Research Setting: The ARIC Study
|American Journal of Epidemiology|2009|119