A team of researchers from China found that a predictive machine-learning model assisted healthcare professionals in identifying patients with lung cancer who are experiencing severe pain-fatigue-sleep disturbance (PFS) symptom clusters after undergoing chemotherapy. The study authors published their findings in Seminars in Oncology Nursing.
The investigators highlighted that PFS symptom clusters are “the most common symptom cluster in patients with lung cancer following chemotherapy, which significantly impacts their quality of life.” The goal of their research was to “develop and validate a machine learning-based prediction model for the severe PFS cluster” among patients in this population.
Investigators recruited 612 patients for the study, and the criteria for participation included individuals aged 18…