The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set-Reference-Cited by-同舟云学术

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The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set

Published:2020-04 Issue: Volume:136 Page:104094
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Ambagtsheer R.C.,Shafiabady N.,Dent E.,Seiboth C.,Beilby J.

Funder

Lutheran Services Queensland

Australian National Health and Medical Research Council

NHMRC Centre of Research Excellence in Transdisciplinary Frailty Research to Achieve Healthy Ageing

Publisher

Elsevier BV

Subject

Health Informatics

Reference51 articles.

1. Frailty: implications for clinical practice and public health;Hoogendijk;Lancet,2019

2. Should we screen for frailty in primary care settings? A fresh perspective on the frailty evidence base: a narrative review;Ambagtsheer;Prev. Med. (Baltim),2019

3. Raising awareness on the urgent need to implement frailty into clinical practice;The Orlando Frailty Conference Group;J. Frailty Aging,2013

4. Management of frailty: opportunities, challenges, and future directions;Dent;Lancet,2019

5. A multifactorial interdisciplinary intervention reduces frailty in older people: randomized trial;Cameron;BMC Med.,2013

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3. Frailty Identification using a Sensor-based Upper- extremity Function Test: A Deep Learning Approach;2024-06-18

4. Tech-based solutions for health challenges in aging: 25 years of development trends and prospects (Preprint);Journal of Medical Internet Research;2024-06-18

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