Application of deep neural survival networks to the development of risk prediction models for diabetes mellitus, hypertension, and dyslipidemia.

Authors:
Sasagawa Y; Inoue Y; Futagami K; Nakamura T; Maeda K and 5 more

Journal:
J Hypertens

Publication Year: 2023

DOI:
10.1097/HJH.0000000000003626

PMCID:
PMC10842670

PMID:
38088426

View on PubMed View on PMC View Publisher

Journal Information

Journal Title: J Hypertens

Detailed journal information not available.

Publication Details

Subject Category: Peripheral Vascular Disease

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score

3/6

50.0% Transparent

Transparency Indicators

Click on green indicators to view evidence text

Core Indicators

Data Sharing

Code Sharing

COI Disclosure

Evidence found in paper:

"Conflicts of interest There are no conflicts of interest."

Funding Disclosure

Evidence found in paper:

"Funding: this work was supported by the Japan Society for the Promotion of Science (grant numbers JP16H05251, JP25293146, and JP25702006); the Industrial Health Foundation (grant numbers 140202-01, 150903-01, and 170301-01); and the National Center for Global Health Medicine (grant numbers 28-Shi-1206, 30-Shi-2003, and 19A-1006)."

Protocol Registration

Open Access

Paper is freely available to read

Additional Indicators

Replication

Novelty Statement

Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025