Predicting positron emission tomography brain amyloid positivity using interpretable machine learning models with wearable sensor data and lifestyle factors.
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| Title: | Predicting positron emission tomography brain amyloid positivity using interpretable machine learning models with wearable sensor data and lifestyle factors. |
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| Authors: | Kimura, Noriyuki1 (AUTHOR) noriyuki@oita-u.ac.jp, Aota, Tomoki2 (AUTHOR), Aso, Yasuhiro1 (AUTHOR), Yabuuchi, Kenichi1 (AUTHOR), Sasaki, Kotaro2 (AUTHOR), Masuda, Teruaki1 (AUTHOR), Eguchi, Atsuko1 (AUTHOR), Maeda, Yoshitaka2 (AUTHOR), Aoshima, Ken2,3 (AUTHOR) k3-aoshima@hhc.eisai.co.jp, Matsubara, Etsuro1 (AUTHOR) |
| Source: | Alzheimer's Research & Therapy. 12/12/2023, Vol. 15 Issue 1, p1-19. 19p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 17589193 |
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| DOI: | 10.1186/s13195-023-01363-x |
