Can We Use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Postoperative Adverse Events?-Reference-Cited by-同舟云学术

Can We Use Artificial Intelligence Cluster Analysis to Identify Patients with Metastatic Breast Cancer to the Spine at Highest Risk of Postoperative Adverse Events?

Published:2023-06 Issue: Volume:174 Page:e26-e34
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

Fourman Mitchell S.^ORCID,Siraj Layla,Duvall Julia,Ramsey Duncan C.^ORCID,De La Garza Ramos Rafael^ORCID,Hadzipasic Muhamed,Connolly Ian,Williamson Theresa,Shankar Ganesh M.,Schoenfeld Andrew,Yassari Reza,Massaad Elie,Shin John H.^ORCID

Funder

National Institutes of Health

North American Spine Society

U.S. Department of Defense

National Institute of Arthritis and Musculoskeletal and Skin Diseases

Orthopaedic Research and Education Foundation

Publisher

Elsevier BV

Subject

Neurology (clinical),Surgery

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3. Predictive analytics in spine oncology research: first steps, limitations, and future directions;Massaad;Neurospine,2019

4. Comparison of three predictive scoring systems for morbidity in oncological spine surgery;De la Garza Ramos;J Clin Neurosci,2021

5. Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning-derived body composition analysis;Massaad;J Neurosurg Spine,2022

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2. Impact of Empowerment Theory-Based Nursing Intervention on the Quality of Life and Negative Emotions of Patients Diagnosed with Brain Metastasis Post Breast Cancer Surgery;Journal of Multidisciplinary Healthcare;2024-05

3. Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis;International Journal of Surgery;2024-02-19