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10 merged results for "Financial Distress and Bankruptcy Prediction"

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  1. Deep Learning-Based Model for Financial Distress Prediction.

    Elhoseny M, Metawa N, Sztano G, El-Hasnony IM · 2022 · Annals of operations research

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1007/s10479-022-04766-5

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms.

    Shi Y, Li X · 2019 · Heliyon

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.heliyon.2019.e02997

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. Financial burden and quality of life among thyroid cancer survivors.

    Mongelli MN, Giri S, Peipert BJ, Helenowski IB · 2020 · Surgery

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.surg.2019.11.014

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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Predicting Financial Distress in Acute Care Hospitals.

    Langabeer JR 2nd, Lalani KH, Champagne-Langabeer T, Helton JR · 2018 · Hospital topics

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1080/00185868.2018.1451262

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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. A Seasonal Time-Series Model Based on Gene Expression Programming for Predicting Financial Distress.

    Cheng CH, Chan CP, Yang JH · 2018 · Computational intelligence and neuroscience

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1155/2018/1067350

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Company scaling and its deviations: New indicators for enterprise evaluation and bankruptcy prediction.

    Xu J, Chen X, Wen L, Zhang J · 2023 · PloS one

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1371/journal.pone.0287105

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. Market risk, financial distress and firm performance in Vietnam.

    Vo DH · 2023 · PloS one

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1371/journal.pone.0288621

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. Corporate financial distress prediction with multiperiod annual report data: A fusion deep neural network model.

    Wang C, Gong P, Li J, Wang Z · 2025 · PloS one

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1371/journal.pone.0333064

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. The Predictive Factors of Hospital Bankruptcy-An Exploratory Study.

    Beauvais B, Ramamonjiarivelo Z, Betancourt J, Cruz J · 2023 · Healthcare (Basel, Switzerland)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3390/healthcare11020165

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. A comparative study of feature selection and feature extraction methods for financial distress identification.

    Kuizinienė D, Savickas P, Kunickaitė R, Juozaitienė R · 2024 · PeerJ. Computer science

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.7717/peerj-cs.1956

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer