Methods and systems for analyzing healthcare data
US10380497B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 13, 2014 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Jul 28, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Disclosed are the embodiments for creating a model capable of identifying one or more clusters in a healthcare dataset. An input is received pertaining to a range of numbers. Each number in the range of numbers is representative of a number of clusters in the healthcare dataset. For a cluster, one or more first parameters of a distribution associated with the cluster are estimated. Thereafter, a threshold value is determined based on the one or more first parameters. An inverse cumulative distribution of each of one or more n-dimensional variables in the healthcare dataset is determined. The one or more first parameters are updated to generate one or more second parameters based on the estimated inverse cumulative distribution. A model is created for each number in the range of numbers based on the one or more second parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.