A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment

摘要

To analyze the state of the art of machine learning-based disease profiling and personalized treatments, we review the relevant literature included in top peer-reviewed journals and evaluate the coverage according to the ICD-11 framework. We identify advantages, but also research needs and limitations within the ICD-11 disease categories to foster the adaptation of these new E-health technologies.