Using an artificial neural network to predict healing times and risk factors for venous leg ulcers-Reference-Cited by-同舟云学术

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Using an artificial neural network to predict healing times and risk factors for venous leg ulcers

Published:2002-03 Issue:3 Volume:11 Page:101-105
ISSN:0969-0700
Container-title:Journal of Wound Care
language:en
Short-container-title:Journal of Wound Care

Author:

Taylor R.J.¹,Taylor A.D.²,Smyth J.V.³

Affiliation:

1. Department of Medical Physics, Salford Royal Hospitals NHS Trust, Salford, UK

2. Salford Primary Care NHS Trust, The Willows Centre for Healthcare, Salford, UK

3. Department of Vascular Surgery, Central Manchester Healthcare NHS Trust, Manchester Royal Infirmary, UK

Publisher

Mark Allen Group

Subject

Nursing (miscellaneous),Fundamentals and skills

Link

http://www.magonlinelibrary.com/doi/pdf/10.12968/jowc.2002.11.3.26381

Reference13 articles.

1. Chronic ulceration of the leg: extent of the problem and provision of care.

2. Leg ulcers: Epidemiology and aetiology

3. ‘Mouseyes’: an aid to wound measurement using a computer

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1. Prognostic models for clinical outcomes in patients with venous leg ulcers: A systematic review;Journal of Vascular Surgery: Venous and Lymphatic Disorders;2024-01

2. Risk predictions of surgical wound complications based on a machine learning algorithm: A systematic review;International Wound Journal;2024-01

3. Evaluation of factors affecting the healing process of venous ulcers: A 12‐week longitudinal study;Wound Repair and Regeneration;2023-11

4. Computer Science meets Vascular Surgery: Keeping a pulse on artificial intelligence;Seminars in Vascular Surgery;2023-09

5. International validation of a venous leg ulcer risk assessment tool;Journal of Wound Care;2023-04-02

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