Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning-Reference-Cited by-同舟云学术

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Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning

Published:2020-09 Issue: Volume:141 Page:104170
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Juwara Lamin,Arora Navpreet,Gornitsky Mervyn,Saha-Chaudhuri Paramita,Velly Ana M.

Funder

Fonds de Recherche du Québec - Santé

Mitacs

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Health Informatics

Reference44 articles.

1. Pharmacological management of chronic neuropathic pain - consensus statement and guidelines from the Canadian Pain Society;Moulin;Pain Res. Manag.,2007

2. Pharmacotherapy for neuropathic pain in adults: a systematic review and meta-analysis;Finnerup;Lancet Neurol.,2015

3. Sodium channels in neuropathic pain--friend or foe?;Binder;Nat. Clin. Pract. Neurol.,2007

4. Afferent hyperexcitability in neuropathic pain and the inconvenient truth about its degeneracy;Ratté;Curr. Opin. Neurobiol.,2016

5. Nociception, pain, negative moods, and behavior selection;Baliki;Neuron,2015

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1. Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review;Journal of Pain and Symptom Management;2024-08

2. The usefulness of artificial intelligence in breast reconstruction: a systematic review;Breast Cancer;2024-04-15

3. Development of machine learning-based prediction models of inadequate postoperative analgesia after noncardiac surgery: a retrospective cohort study;2024-04-12

4. Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review;JMIR Cancer;2024-03-19

5. Use of artificial intelligence in breast surgery: a narrative review;Gland Surgery;2024-03

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