System and method for predicting acute cardiopulmonary events and survivability of a patient
US11647963B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 8, 2020 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Jun 8, 2041 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B5/364
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method of producing an artificial neural network capable of predicting the survivability of a patient, including: storing in an electronic database patient health data comprising a plurality of sets of data, each set having at least one of a first parameter relating to heart rate variability data and a second parameter relating to vital sign data, each set further having a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of artificial neurons, each artificial neuron having at least one input with an associated weight; and training the artificial neural network using the patient health data such that the associated weight of the at least one input of each artificial neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.