Comparing deep learning and classical regression approaches for predicting healthcare expenditure and spending: a systematic review.

Lee JT, Yeh MH, Li VC, Chen HH, Liu YH, Chen YC, Wu DB

DOI: 10.1080/13696998.2026.2630598
Published: 2026 Dec
Container: Journal of medical economics
Publisher: Not recorded
Open access: no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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

Cite this work

BibTeX

@article{allodium:10.1080/13696998.2026.2630598,
  title = {Comparing deep learning and classical regression approaches for predicting healthcare expenditure and spending: a systematic review.},
  author = {Lee JT and Yeh MH and Li VC and Chen HH and Liu YH and Chen YC and Wu DB},
  year = {2026},
  journal = {Journal of medical economics},
  doi = {10.1080/13696998.2026.2630598},
  url = {https://doi.org/10.1080/13696998.2026.2630598}
}

RIS

TY  - JOUR
TI  - Comparing deep learning and classical regression approaches for predicting healthcare expenditure and spending: a systematic review.
AU  - Lee JT
AU  - Yeh MH
AU  - Li VC
AU  - Chen HH
AU  - Liu YH
AU  - Chen YC
AU  - Wu DB
PY  - 2026
JO  - Journal of medical economics
DO  - 10.1080/13696998.2026.2630598
UR  - https://doi.org/10.1080/13696998.2026.2630598
ER  -

APA

JT, L., MH, Y., VC, L., HH, C., YH, L., YC, C., & DB, W. (2026). Comparing deep learning and classical regression approaches for predicting healthcare expenditure and spending: a systematic review.. Journal of medical economics. https://doi.org/10.1080/13696998.2026.2630598

Source records

pubmed · retrieved 2026-11-10T14:08:11.284Z
europe-pmc · retrieved 2026-11-10T14:08:11.291Z