Methods for determining risk and treating diseases and conditions that correlate to weather data
US11875900B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Apr 13, 2020 |
| Grant date | Jan 16, 2024 |
| Priority date | — |
| Expiry date | Nov 11, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Methods and model equations are provided for predicting a risk of a subject who experiences adverse medical events associated with the weather, of experiencing a new-onset event. Methods include a) identifying a climate region of interest; b) collecting daily mean barometric pressure (BP) data for a time frame and dividing the days of the time frame into at least upper, middle and lower quantile BP days to identify the upper quantile BP days; c) collecting daily new onset event (NOE) data for a subject cohort consisting of subjects known to suffer from the adverse medical event for the time frame and calculating a daily incident rate (IR) of NOEs for each day of the time frame and dividing the days of the time frame into at least upper, middle and lower quantile IR-NOE days to identify the upper quantile IR-NOE (UQ-IR-NOE) days; d) determining a relevant number of seasons based on an association between the upper IR-NOE quantile days identified in c) and the upper BP quantile days identified in b); e) collecting hourly weather data for the time frame for a number of weather parameters and determining a set of weather variables; f) employing a generalized linear regression analysis …
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.