Evidence map›Paper›PMID 34200785›Full record

ArticleHealthcare (Basel, Switzerland)2021

The Prediction Model of Medical Expenditure Appling Machine Learning Algorithm in CABG Patients.

Yen-Chun Huang, Shao-Jung Li, Mingchih Chen, Tian-Shyug Lee

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  9. The application of artificial intelligence in health financing: a scoping review.Cost effectiveness and resource allocation : C/E · 2023
    Article
  10. Impact of Pre-Transplant Parathyroidectomy on Graft Survival: A Comparative Study of Renal Transplant Patients (2005-2015).Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yen-Chun HuangGraduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 24205, Taiwan.
Shao-Jung LiCardiovascular Research Center, Wan Fang Hospital, Taipei Medical University, Taipei City 116, Taiwan.
Mingchih ChenGraduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 24205, Taiwan.
Tian-Shyug LeeGraduate Institute of Business Administration, College of Management, Fu Jen Catholic University, New Taipei City 24205, Taiwan.ORCID 0000-0001-9280-0643
Fu Jen Catholic University · TWWan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients face expensive healthcare management after coronary artery bypass grafting (CABG) surgery, which brings a substantial financial burden to the government. The National Health Insurance Research Database (NHIRD) is a complete database containing over 99% of individuals' medical information in Taiwan. Our research used the latest data that selected patients who accepted their first CABG surgery between January 2014 and December 2017 (

Indexed as

CABGfeature selectionmachine learningmedical expenditure predictNational Health Insurance Research DatabaseNHIRD

Identifiers

PMID34200785
PMCPMC8230367
OpenAlexW3172291166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.