System and method for privacy preserving predictive models for lung cancer survival analysis
US8250013B2 · kind B2 · utility
4Cited by
2References
16Claims
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Key dates
| Filing date | Jan 14, 2009 |
| Grant date | Aug 21, 2012 |
| Priority date | — |
| Expiry date | Apr 14, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16Z99/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix Ai of cancer survival data that is not publicly available, providing a class matrix Di for each of the data matrices Ai, providing a kernel K(Ai, B) by each of said plurality of entities to allow public computation of a full kernel, and computing 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.