Evidence map›Paper›PMID 39220969›Full record

ArticleHeliyon2024

Sensitivity analysis of slope stability based on eXtreme gradient boosting and SHapley Additive exPlanations: An exploratory study.

Hanjie Lin, Li Li, Yue Qiang, Yi Zhang, Siyu Liang, Xinlong Xu, Hongjian Li, Shengchao Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Hanjie LinDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Li LiDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Yue QiangDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Yi ZhangDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Siyu LiangDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Xinlong XuDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Hongjian LiDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.
Shengchao HuDepartment of Civil Engineering, Chongqing Three Gorges University, Wanzhou 404100, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Slope instability through can cause catastrophic consequences, so slope stability analysis has been a key topic in the field of geotechnical engineering. Traditional analysis methods have shortcomings such as high operational difficulty and time-consuming, for this reason many researchers have carried out slope stability analysis based on AI. However, the current relevant studies only judged the importance of each factor and did not specifically quantify the correlation between factors and slope stability. For this purpose, this paper carried out a sensitivity analysis based on the XGBoost and SHAP. The sensitivity analysis results of SHAP were also validated using GeoStudio software. The selected influence factors included slope height (

Indexed as

A priori data-drivenGeoStudioMachine learningSensitivity analysis of slope stabilitySHAPXGBoost

Identifiers

PMID39220969
PMCPMC11365438

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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.