Patient similarity and other artificial intelligence machine learning algorithms in clinical decision aid for shared decision-making in the Prevention of Cardiovascular Toxicity (PACT): a feasibility trial design

Patient similarity and other artificial intelligence machine learning algorithms in clinical decision aid for shared decision-making in the Prevention of Cardiovascular Toxicity (PACT): a feasibility trial design

Abstract Background The many improvements in cancer therapies have led to an increased number of survivors, which comes with a greater risk of consequent/subsequent cardiovascular disease. Identifying effective management strategies that can mitigate this risk of cardiovascular complications is vita...

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Bibliographic Details
Main Authors: Sherry-Ann Brown, Brian Y. Chung, Krishna Doshi, Abdulaziz Hamid, Erin Pederson, Ragasnehith Maddula, Allen Hanna, Indrajit Choudhuri, Rodney Sparapani, Mehri Bagheri Mohamadi Pour, Jun Zhang, Anai N. Kothari, Patrick Collier, Pedro Caraballo, Peter Noseworthy, Adelaide Arruda-Olson, for the Cardio-Oncology Artificial Intelligence Informatics and Precision Equity (CAIPE) Research Team Investigators
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Cardio-Oncology
Subjects:
Cardio-oncology
Cardiotoxicity
Cancer survivors
Machine learning
Artificial intelligence
Clinical decision aid
Online Access:https://doi.org/10.1186/s40959-022-00151-0

Internet

https://doi.org/10.1186/s40959-022-00151-0

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