Machine‐learning approach to predict on‐road driving ability in healthy older people-Reference-Cited by-同舟云学术

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Machine‐learning approach to predict on‐road driving ability in healthy older people

Published:2020-07-20 Issue:9 Volume:74 Page:488-495
ISSN:1323-1316
Container-title:Psychiatry and Clinical Neurosciences
language:en
Short-container-title:Psychiatry Clin. Neurosci.

Author:

Yamamoto Yasuharu¹^ORCID,Hirano Jinichi¹,Yoshitake Hiroshi²,Negishi Kazuno³,Mimura Masaru¹,Shino Motoki²,Yamagata Bun¹

Affiliation:

1. Department of NeuropsychiatryKeio University School of Medicine Tokyo Japan

2. Department of Human and Engineered Environmental StudiesThe University of Tokyo Tokyo Japan

3. Department of OphthalmologyKeio University School of Medicine Tokyo Japan

Funder

Mitsui Sumitomo Insurance Welfare Foundation

National Institute of Information and Communications Technology

General Insurance Association of Japan

Publisher

Wiley

Subject

Psychiatry and Mental health,Clinical Neurology,Neurology,General Medicine,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pcn.13084

Reference53 articles.

1. World Health Organization 2018

2. Cognitive predictors of unsafe driving in older drivers: a meta-analysis

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1. Cognitive correlates of reduced driving performance in healthy older adults: A meta-analytic review;Accident Analysis & Prevention;2023-12

2. Rethinking Driving Assessment: A Hypothesis-Driven Proposal for Cognitive Evaluation;OBM Neurobiology;2023-10-10

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4. Research on Assessing Driving Ability of Older Drivers Based on Cognitive Tests: A Case Study of Beijing, China;Sustainability;2023-02-07

5. Double-Bind of Recruitment of Older Adults Into Studies of Successful Aging via Assistive Information and Communication Technologies: Mapping Review;JMIR Aging;2022-12-23

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