Free-Text Responses on Medical Needs, Analyzed with NLP and Thematic Extraction

A 9.5 KB XLS file contains qualitative data from free-text responses regarding medical needs, authored by Yutaka Sawai and last updated on April 3, 2026. The dataset is licensed under CC-BY-4.0 and appears to involve analysis of caregiver or patient perspectives. Platform tags suggest the content relates to 22q11.2 deletion syndrome and mental illness.

Use Cases

• Train NLP models for thematic extraction based on free-text responses about medical challenges.
• Analyze caregiver perspectives on healthcare needs based on the described qualitative analysis.
• Complement manual thematic analysis with automated text processing based on the dataset's stated purpose.
• Study patient-reported medical needs, including those related to mental illness, as suggested by platform tags.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Last update date is explicitly provided (2026-04-03).
• Platform tags provide specific context, such as '22q11.2 Deletion Syndrome' and 'Natural Language Processing'.

Limitations

• Row count and column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.
• The 9.5 KB file size indicates a very small dataset with limited scope.

Provenance

Source

figshare, author Yutaka Sawai.

Collection Method

Likely gathered via offline surveys targeting caregivers, based on platform tags.

Time Range

null

Freshness

Last updated 2026-04-03 17:53:03; freshness should be verified.

Geography

Platform tags mention 'Tokyo Graduate School', suggesting a possible Japanese context.