Phone conversations contain vocal features which might help identify early Alzheimer's disease, thanks to a new machine-learning model.
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Article Title: Dementia risks identified by vocal features via telephone conversations: A novel machine learning prediction model
Funding: This research was funded by McCann Health Worldwide Japan Inc. The funder provided support in the form of salaries for AS, YI, and HH, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the 'author contributions' section.
Competing Interests: AS, YI, and HH are employees of McCann Health Worldwide Japan Inc. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0253988
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