Patent ID: 8250013

Claim:
A computer-implemented method for privacy-preserving data mining to determine cancer survival rates, said method comprising the steps of: providing 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 a class matrix D i for each of the data matrices A i ; providing a kernel K(A i , B) by each of said plurality of entities to allow public computation of a full kernel; and computing, with a computer system, a binary classifier that incorporates said public full kernel, wherein said classifier is adapted to classify a new data vector according to a sign of said classifier, wherein computing comprises: extracting covariates x from the data matrix A i ; and maximizing a quantity w′K(x, B′) to solve for vector w, wherein said quantity w′K(x, B′) is an effect parameter in a survival model that characterizes an effect on said cancer survival rates.