Method of early detection, risk stratification, and outcomes prediction of a medical disease or condition with machine learning and routinely taken patient data
US11676722B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2021 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Mar 23, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method of determining the risk of developing a known disease or condition or of identifying the presence of the known disease or condition in a subject includes obtaining subject data that includes results of blood tests. The blood tests include a basic metabolic panel (BMP) and a complete blood count (CBC) panel. The method further includes classifying the subject data with respect to the risk of the subject having or developing the known disease or condition by using the subject data in a machine learning classification system. The classification system includes a machine learning model previously trained on BMP and CBC data from a positive group of training subjects who received a diagnosis of the disease or condition and from a negative group of training subjects who were not diagnosed to have the disease or condition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.