SYSTEM AND METHOD FOR PRIVACY PRESERVING PREDICTIVE MODELS FOR LUNG CANCER SURVIVAL ANALYSIS

摘要

A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing (21) a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix A i of cancer survival data that is not publicly available, providing (22) a class matrix D i for each of the data matrices A i , providing (23) a kernel K(A i , B) by each of said plurality of entities to allow public computation of a full kernel, and computing a(24) binary classifier that incorporates said public full kernel, wherein said classifier is adapted to classify (25) a new data vector according to a sign of said classifier.