Evidence map›Paper›PMID 37346732›Full record

ArticlePeerJ. Computer science2023

Predicting bankruptcy of firms using earnings call data and transfer learning.

Hafeez Ur Rehman Siddiqui, Beatriz Sainz de Abajo, Isabel de la Torre Díez, Furqan Rustam, Amjad Raza, Sajjad Atta, Imran Ashraf

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ. Computer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hafeez Ur Rehman SiddiquiFaculty of Computer Science and Information Technology, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Beatriz Sainz de AbajoDepartment of Signal Theory, Communications and Telematics Engineering, Unviersity of Valladolid, Spain.
Isabel de la Torre DíezDepartment of Signal Theory, Communications and Telematics Engineering, Unviersity of Valladolid, Spain.
Furqan RustamSchool of Computer Science, University College Dublin, Dublin, Ireland.
Amjad RazaFaculty of Computer Science and Information Technology, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Sajjad AttaFaculty of Computer Science and Information Technology, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Imran AshrafDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan si, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Business collapse is a common event in economies, small and big alike. A firm's health is crucial to its stakeholders like creditors, investors, partners,

Indexed as

Bankruptcy predictionDeep learningFeature extractionTransfer learning

Identifiers

PMID37346732
PMCPMC10280182

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.