Supervised learning applied to classifying fallers versus non-fallers among older adults with cancer-Reference-Cited by-同舟云学术

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Supervised learning applied to classifying fallers versus non-fallers among older adults with cancer

Published:2023-05 Issue:4 Volume:14 Page:101498
ISSN:1879-4068
Container-title:Journal of Geriatric Oncology
language:en
Short-container-title:Journal of Geriatric Oncology

Author:

Ramsdale Erika,Kunduru Madhav,Smith Lisa,Culakova Eva,Shen Junchao,Meng Sixu,Zand Martin,Anand Ajay

Funder

National Institute on Aging

National Cancer Institute

Publisher

Elsevier BV

Subject

Geriatrics and Gerontology,Oncology

Reference24 articles.

1. An introduction to machine learning for clinicians: how can machine learning augment knowledge in geriatric oncology?;Ramsdale;J Geriatr Oncol,2021

2. Scikit-learn: machine learning in Python;Pedregosa;J Mac Learn Res,2011

3. Web-based Injury Statistics Query and Reporting System (WISQARS) [Online];Centers for Disease Control and Prevention,2003

4. Fall-associated difficulty with activities of daily living in functionally independent individuals aged 65 to 69 in the United States: a cohort study;Sekaran;J Am Geriatr Soc,2013

5. Frailty in older adults: evidence for a phenotype;Fried;J Gerontol A Biol Sci Med Sci,2001

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geriatric assessment for the practicing clinician: The why, what, and how;CA: A Cancer Journal for Clinicians;2024-08-29

2. Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review;Frontiers in Medicine;2024-04-22

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