According to Meredith Cummings, BSN, RN, OCN, machine learning may have an increasing role in predicting adverse events in patients undergoing cancer treatment.
Cummings, a PhD student in the School of Nursing at the University of Pittsburgh who works at the outpatient infusion center at the Allegheny Health Network Cancer Institute, recently gave a poster presentation on machine learning at the 48th Annual Conference of the Oncology Nursing Society. Did.
The aim of the review was to characterize the use of machine learning in predicting treatment-related symptoms. This review also aims to identify gaps related to machine learning prediction models.
Investigators conducted the review according to the systematic review priority report and the meta-analysis extension guidelines of the scoping review. They used his PubMed to search for papers and selected papers evaluating machine learning to predict symptoms of chemotherapy treatment in patients with head and neck cancer. An initial search found him 331 articles. A total of 30 papers were evaluated after the abstracts were reviewed for eligibility.
Ultimately, the majority of articles included all head and neck cancer patients (n = 11). Nine studies included patients with esophageal and nasopharyngeal cancers, and one included patients with laryngeal cancer. Radiation (62%) was the most considered treatment. Of note, only three of his studies included external validation measures for evaluating predictive models. Taken together these studies, the most commonly predicted symptoms included radiation-induced xerostomia, radiation-induced temporal lobe damage, and chemotherapy-induced myelosuppression. These models were able to predict treatment-related symptoms with an accuracy range of area under the curve (AUC) of 0.65 to 0.85.
According to Cummings, machine learning could prove a useful tool for optimizing symptom management in this patient population. She encourages nurses to familiarize themselves with machine learning and its potential predictive capabilities.
reference
Cummings M, Nilsen M, Bender C, Al-Zaiti S. Prediction of chemotherapy-related symptoms in patients with head and neck cancer using a machine learning approach: a scoping review. Poster presentation: The 48th Congress of the Oncology Nursing Society. April 26-30, 2023. San Antonio, Texas. Accessed May 25, 2023. https://ons.confex.com/ons/2023/meetingapp.cgi/Paper/13510
