Identification of maternal depression risk from natural language collected in a mobile health app.

Krishnamurti T, Allen K, Hayani L, Rodriguez S, Davis AL

DOI: 10.1016/j.procs.2022.09.092
Published: 2022
Container: Procedia computer science
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 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
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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:10.1016/j.procs.2022.09.092,
  title = {Identification of maternal depression risk from natural language collected in a mobile health app.},
  author = {Krishnamurti T and Allen K and Hayani L and Rodriguez S and Davis AL},
  year = {2022},
  journal = {Procedia computer science},
  doi = {10.1016/j.procs.2022.09.092},
  url = {https://doi.org/10.1016/j.procs.2022.09.092}
}

RIS

TY  - JOUR
TI  - Identification of maternal depression risk from natural language collected in a mobile health app.
AU  - Krishnamurti T
AU  - Allen K
AU  - Hayani L
AU  - Rodriguez S
AU  - Davis AL
PY  - 2022
JO  - Procedia computer science
DO  - 10.1016/j.procs.2022.09.092
UR  - https://doi.org/10.1016/j.procs.2022.09.092
ER  -

APA

T, K., K, A., L, H., S, R., & AL, D. (2022). Identification of maternal depression risk from natural language collected in a mobile health app.. Procedia computer science. https://doi.org/10.1016/j.procs.2022.09.092

Source records

pubmed · retrieved 2026-09-25T00:06:26.834Z