| 摘要 |
Systems and methods are described for medical characterization of biological data. One such method includes applying a decomposition algorithm, by a processor, to an Nth-order tensor representing data, wherein N≧2, to generate, from at least two submatrices A and B of the tensor, eigenvectors of each of AAT, ATA, BBT, and BTB; where the data comprise indicators, represented in respective rows and columns of the tensor, of values of at least two index parameters; and determining an indicator of a health parameter of a subject, the determining being based on the eigenvectors and on values, associated with the subject, of the at least two index parameters. In some cases, the eigenvectors of ATA are the same as the eigenvectors of BTB. |
| 主权项 |
1. A method, for medical characterization of a subject based on biological data, comprising:
applying a decomposition algorithm, by a processor, to an Nth-order tensor representing data, wherein N≧2, to generate, from at least two submatrices A and B of the tensor, eigenvectors of each of AAT, ATA, BBT, and BTB; wherein the data comprises indicators, represented in respective rows and columns of the tensor, of values of at least two index parameters; and determining an indicator of a health parameter of a subject, the determining based on the eigenvectors and on values, associated with the subject, of the at least two index parameters; wherein the health parameter comprises at least one of a differential diagnosis, a first health status of the subject, a disease subtype, at least one of an estimated probability or an estimated risk of a second health status of the subject, an indicator of a prognosis of the subject, or a predicted response to a treatment of the subject. |
