Evidence map›Paper›PMID 38654056›Full record

ArticleScientific reports2024

Medical equipment effectiveness evaluation model based on cone-constrained DEA and attention-based bi-LSTM.

Luying Huang, Wenqian Lv, Qingming Huang, Haikang Zhang, Siyuan Jin, Tong Chen, Bing Shen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

7 authors.

Luying Huang *Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Wenqian Lv *Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Qingming HuangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Haikang ZhangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Siyuan JinShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Tong ChenShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Bing ShenSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. urodrshenbing@shsmu.edu.cn.

Funding

the Health Economic Management Research Project of China Health Economics Association Health CHEA2122040102the Medical-Industrial Crossover Project of the University of Shanghai for Science and Technology 10-21-302-405
6 · The paper itself

Abstract

This study constructs a composite indicator system covering the core dimensions of medical equipment input and output. Based on this system, an innovative cone-constrained data envelopment analysis (DEA) model is designed. The model integrates the advantages of the analytic hierarchy process (AHP) with an improved criterion importance through intercriteria correlation (CRITIC) method to determine subjective and objective weights and employs game theory to obtain the final combined weights, which are further incorporated as constraints to form the cone-constrained DEA model. Finally, a bidirectional long short-term memory (Bi-LSTM) model with an attention mechanism is introduced for integration, aiming to provide a novel and practical model for evaluating the effectiveness of medical equipment. The proposed model has essential reference value for optimizing medical equipment management decision-making and investment strategies.

Indexed as

Equipment and SuppliesAlgorithmsGame TheoryHumansModels, TheoreticalAttentional Bi-LSTMData envelopment analysisDecision-making methodsEffectiveness evaluationMedical equipment

Identifiers

PMID38654056
PMCPMC11039725

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.