Data Science and Machine Learning at the service of clinical decision-making in oncology

Abstract

Health institutions, and hospitals in particular, deal on a daily basis with an object of immense value: data. If these data could be extracted out of the textual clinical records and fed into machine learning models developed for assisting physicians in clinical decision-making, new opportunities would arise to clinical practice, clinical research, but above all to patients.