Use of unstructured text in prognostic clinical prediction models: a systematic review.
Tom M SeinenEgill A FridgeirssonSolomon IoannouDaniel JeannetotLuis H JohnJan A KorsAniek F MarkusVictor PeraAlexandros RekkasRoss D WilliamsCynthia YangErik M van MulligenPeter R RijnbeekPublished in: Journal of the American Medical Informatics Association : JAMIA (2022)
The use of unstructured text in the development of prognostic prediction models has been found beneficial in addition to structured data in most studies. The text data are source of valuable information for prediction model development and should not be neglected. We suggest a future focus on explainability and external validation of the developed models, promoting robust and trustworthy prediction models in clinical practice.