Back to search

Article

Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease

2022-04-27

Abstract excerpt

<title>Abstract</title> <p>Purpose: To explore the performance and intelligibility of machine-learning and deep-learning models on end-stage renal disease (ESRD) prediction, based on readily-accessible clinical and laboratory features of patients suffering from chronic kidney disease (CKD). <h4>Materials and Methods:</h4> This single-center retrospective study included 2,382 patients diagnosed with CKD, of which...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c3384a70-cf55-5dcf-a591-6ef5cd639fb2
DOI
10.21203/rs.3.rs-1577772/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney DiseaseDOI 10.21203/rs.3.rs-1577772/v1
Select a neighboring publication to make it the new centre.