Rethinking PICO in the Machine Learning Era: ML-PICO.
Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties. ML papers that follow an outcomes-based research format can be assessed using clinical research appraisal frameworks such as PICO (Population, Intervention, Comparison, Outcome). However, the PICO frameworks strain when applied to ML papers that create [...]
Author(s): Liu, Xinran, Anstey, James, Li, Ron, Sarabu, Chethan, Sono, Reiri, Butte, Atul J
DOI: 10.1055/s-0041-1729752