Using voice recognition and machine learning techniques for detecting patient‐reported outcomes from conversational voice in palliative care patients

Although further improvements are necessary to enhance our model's performance, this study provides valuable insights into voice recognition and machine learning in clinical settings. We expect our findings will reduce the burden of recording PROMs on healthcare providers, increasing the wider use of PROMs.

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Institutions

Publication Details

Journal
Japan Journal of Nursing Science
Published
2025-01-01
DOI
https://doi.org/10.1111/jjns.12644
Citations
3
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
5.64

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article

Using voice recognition and machine learning techniques for detecting patient‐reported outcomes from conversational voice in palliative care patients

Mitsunori Miyashita, Kento Masukawa, Hideyuki Hirayama, Lei Dong et al.
3 citations
Japan Journal of Nursing Science
Palliative Care and End-of-Life Issues
5.64
article

Using voice recognition and machine learning techniques for detecting patient‐reported outcomes from conversational voice in palliative care patients

Mitsunori Miyashita, Kento Masukawa, Hideyuki Hirayama, Lei Dong, X. Zheng
article en
3 citations

Abstract

Although further improvements are necessary to enhance our model's performance, this study provides valuable insights into voice recognition and machine learning in clinical settings. We expect our findings will reduce the burden of recording PROMs on healthcare providers, increasing the wider use of PROMs.

Japan Journal of Nursing ScienceVol. 22(1)
Tohoku University (JP)
Japan Society for the Promotion of Science
Quality Education
Openalex Percentile: Top 6%
Palliative Care and End-of-Life Issues
5.64
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