Predicting technique survival in peritoneal dialysis patients: comparing artificial neural networks and logistic regression.

Authors:
Tangri N; Ansell D; Naimark D.

Journal:
Nephrol Dial Transplant

Publication Year: 2008

DOI:
10.1093/ndt/gfn187

PMCID:
PMC2517147

PMID:
18441002

View on PubMed View on PMC View Publisher
Journal Information

Full Title: Nephrol Dial Transplant

Abbreviation: Nephrol Dial Transplant

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Transplantation

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Related Papers from Same Journal
A clinical screening algorithm for primary hyperoxaluria type 1 in adults on dialysis.
Ferraro PM; D'Ambrosio V; Gambaro G and 3 more (2024) - Transparency Score: 3/6
A nomogram predicting the histologic activity of lupus nephritis from clinical parameters.
Gao C; Bian X; Wu L and 6 more (2024) - Transparency Score: 3/6
Associations of neutral pH, low-GDP peritoneal dialysis solutions with patient survival, transfer t…
Chen JHC; Johnson DW; Cho Y and 8 more (2024) - Transparency Score: 3/6
Binding and detoxification efficiency of albumin decline after haemodialysis.
Boss K; Waterstradt K; Schnurr K and 7 more (2024) - Transparency Score: 3/6
Contrast-enhanced ultrasonography reveals a lower cortical perfusion and a decreased renal flow res…
Damianaki A; Hendriks-Balk M; Brito W and 7 more (2024) - Transparency Score: 3/6
View All Papers from This Journal
Transparency Score
1/6
0.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Conflict of interest statement . None declared."

Funding Disclosure
Protocol Registration
Open Access
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025