Comparison between multiple logistic regression and machine learning methods in prediction of abnormal thallium scans in type 2 diabetes.

Authors:
Yang CC; Peng CH; Huang LY; Chen FY; Kuo CH and 3 more

Journal:
World J Clin Cases

Publication Year: 2023

DOI:
10.12998/wjcc.v11.i33.7951

PMCID:
PMC10698405

PMID:
38075576

View on PubMed View on PMC View Publisher
Journal Information

Full Title: World J Clin Cases

Abbreviation: World J Clin Cases

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medicine, General & Internal

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Related Papers from Same Journal
Acute pancreatitis as a complication of acute COVID-19 in kidney transplant recipients.
Basic-Jukic N; Juric I; Katalinic L and 3 more (2024) - Transparency Score: 2/6
Application and mechanisms of Sanhua Decoction in the treatment of cerebral ischemia-reperfusion in…
Wang YK; Lin H; Wang SR and 4 more (2024) - Transparency Score: 3/6
Benefit in physical function and quality of life to nonsurgical treatment of varicose veins: Pilot …
Kim GM; Kim B; Jang M and 5 more (2024) - Transparency Score: 4/6
Bipolar hip arthroplasty using conjoined tendon preserving posterior lateral approach in treatment …
Yan TX; Dong SJ; Ning B and 1 more (2024) - Transparency Score: 2/6
Chronic venous insufficiency, could it be one of the missing pieces in the puzzle of treating pain?
Chang MC. (2024) - Transparency Score: 3/6
View All Papers from This Journal
Transparency Score
2/6
33.3% 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: There is no conflict of Interest in the current study."

Funding Disclosure
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