Explainable AI Framework for Time Series Prediction in Economic Mental Health Analysis

Data Sheet 1_RETRACTED by Ying Yang, uploaded to figshare in 2026, is a 116.9 KB PDF document. It describes a proposed framework integrating Explainable AI (XAI) techniques directly into time series prediction for economic mental health analysis. The document argues for the necessity of interpretability in high-stakes mental health forecasting and presents experimental results for the proposed method.

Use Cases

• Developing interpretable time series forecasting models based on the described framework for feature attribution and causal reasoning.
• Researching methods to combine intrinsic and post-hoc explainability techniques in predictive analytics, as outlined in the document.
• Evaluating AI model trustworthiness for sensitive domains like mental health, based on the discussion of human-centric explanation generation.

Strengths

• Document is licensed under CC-BY-4.0, permitting broad reuse with attribution.
• File size is precisely 116.9 KB, indicating a concise, focused document.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset title includes 'RETRACTED', which may indicate the underlying work or data has been withdrawn.

Provenance

Source

Ying Yang via figshare

Collection Method

Proposed framework described in an academic-style document.

Time Range

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Freshness

Last updated 2026-04-27 13:42:08; freshness should be verified.

Geography

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